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Introduction

This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community. This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model. The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.

Getting started

To get started, please see this document.

References

HTM School: https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop

HTM Overview: https://en.wikipedia.org/wiki/Hierarchical_temporal_memory

A Machine Learning Guide to HTM: https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm

Numenta on Github: https://github.com/numenta

HTM Community: https://numenta.org/

A deep dive in HTM Temporal Memory algorithm: https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf

Continious Online Sequence Learning with HTM: https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6

Papers and conference proceedings

International Journal of Artificial Intelligence and Applications

Scaling the HTM Spatial Pooler

Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407

AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki

The Parallel HTM Spatial Pooler with Actor Model

Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606

Symposium on Pattern Recognition and Applications - Rome, Italy

On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler

Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317

International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021

Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)

Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106

Springer Nature - Computer Sciences

On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler

Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4

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C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.

ddobric.github.io/neocortexapi/

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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Skip to content
BranchesTags
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licensebuildStatus
Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
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Readme
AGPL-3.0 license
Activity
Stars
24 stars
Watchers
6 watching
Forks
223 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
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Readme
AGPL-3.0 license
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Watchers
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Forks
223 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
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licensebuildStatus
Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
Resources
Readme
AGPL-3.0 license
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Stars
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Watchers
6 watching
Forks
223 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
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licensebuildStatus
Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
Resources
Readme
AGPL-3.0 license
Activity
Stars
24 stars
Watchers
6 watching
Forks
223 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
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C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
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aialgorithmcortexhtmmlspatialpooler
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Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
Resources
Readme
AGPL-3.0 license
Activity
Stars
24 stars
Watchers
6 watching
Forks
223 forks
Report repository
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Used by
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licensebuildStatus
Introduction
This repository is the open source implementation of the Hierarchical Temporal Memory in C#/.NET Core. This repository contains set of libraries around NeoCortext API .NET Core library. NeoCortex API focuses implementation of Hierarchical Temporal Memory Cortical Learning Algorithm. Current version is first implementation of this algorithm on .NET platform. It includes the Spatial Pooler, Temporal Pooler, various encoders and CorticalNetwork algorithms. Implementation of this library aligns to existing Python and JAVA implementation of HTM. Due similarities between JAVA and C#, current API of SpatialPooler in C# is very similar to JAVA API. However the implementation of future versions will include some API changes to API style, which is additionally more aligned to C# community.
This repository also cotains first experimental implementation of distributed highly scalable HTM CLA based on Actor Programming Model.
The code published here is experimental code implemented during my research at daenet and Frankfurt University of Applied Sciences.
Getting started
To get started, please see this document.
References
HTM School:
https://www.youtube.com/playlist?list=PL3yXMgtrZmDqhsFQzwUC9V8MeeVOQ7eZ9&app=desktop
HTM Overview:
https://en.wikipedia.org/wiki/Hierarchical_temporal_memory
A Machine Learning Guide to HTM:
https://numenta.com/blog/2019/10/24/machine-learning-guide-to-htm
Numenta on Github:
https://github.com/numenta
HTM Community:
https://numenta.org/
A deep dive in HTM Temporal Memory algorithm:
https://numenta.com/assets/pdf/temporal-memory-algorithm/Temporal-Memory-Algorithm-Details.pdf
Continious Online Sequence Learning with HTM:
https://www.mitpressjournals.org/doi/full/10.1162/NECO_a_00893#.WMBBGBLytE6
Papers and conference proceedings
International Journal of Artificial Intelligence and Applications
Scaling the HTM Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 International Journal of Artificial Intelligence and Applications. Scaling the HTM Spatial Pooler. doi:10.5121/ijaia .2020.11407
AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing (AIS 2020), Helsinki
The Parallel HTM Spatial Pooler with Actor Model
Dobric, Pech, Ghita, Wennekers 2020. 2020 AIS 2020 - 6th International Conference on Artificial Intelligence and Soft Computing, Helsinki. The Parallel HTM Spatial Pooler with Actor Model. https://aircconline.com/csit/csit1006.pdf, doi:10.5121/csit.2020.100606
Symposium on Pattern Recognition and Applications - Rome, Italy
On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2020. 2020 Symposium on Pattern Recognition and Applications. On the Relationship Between Input Sparsity and Noise Robustness in Hierarchical Temporal Memory Spatial Pooler. https://dl.acm.org/doi/10.1145/3393822.3432317. doi:10.1145/3393822.3432317
International Conference on Pattern Recognition Applications and Methods - ICPRAM 2021
Improved HTM Spatial Pooler with Homeostatic Plasticity Control (Awarded with: Best Industrial Paper)
Dobric, Pech, Ghita, Wennekers 2021. ICPRAM Vienna Improved HTM Spatial Pooler with Homeostatic Plasticity control. doi:10.5220/0010314200980106
Springer Nature - Computer Sciences
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, Pech, Ghita, Wennekers 2022. Springer Nature Computer Science Journal
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler. https://rdcu.be/cIcoc. doi:10.1007/s42979-022-01066-4
Contribute
If your want to contribute on this project please contact us by opening an issue.
About
C#.NET Implementation of Hierarchical Temporal Memory Cortical Learning Algorithm.
ddobric.github.io/neocortexapi/
Topics
aialgorithmcortexhtmmlspatialpooler
Resources
Readme
AGPL-3.0 license
Activity
Stars
24 stars
Watchers
6 watching
Forks
223 forks
Report repository
Releases
Packages
Used by
Contributors
Languages