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tekboart/README.md


Hi there, 👋

I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.

Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.

In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.

🎯 Research Interests (in order of competence)

  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning

🧰 Toolbox

CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned Loading

  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic

    A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook 3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic

    Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook 3

  3. SNA-pointcloudSNA-pointcloudPublic

    Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook

  4. local-llmlocal-llmPublic

    A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages..

    Python

  5. project-template-aiproject-template-aiPublic template

    Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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🎯
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11
followers
 · 58
following

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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, '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('^' + ".*" + '

Skip to content
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🎯
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11
followers
 · 58
following

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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, '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");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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followers
 · 58
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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, '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");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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🎯
Focusing
11
followers
 · 58
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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

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  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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View tekboart's full-sized avatar
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Focusing
🎯
Focusing
11
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 · 58
following

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tekboart/README.md

Hi there, 👋
I'm a 2D/3D Computer Vision (CV) and Graph Machine Learning (Graph ML) engineer researching unexplored applications of CV and Graph ML in the built environment. More recently, I've developed an interest in Robot Learning, particularly in combining it with my background in CV and Graph ML to tackle robotics-related challenges on construction sites, such as SLAM, localization, and 3D Scene Graph (3DSG) understanding.
Having worked with a wide range of data modalities—including images, videos, point clouds, graphs, text, and sensor data—I view Multimodal AI as a natural approach to integrating diverse data sources and addressing the complex challenges of the built environment.
In addition, as a long-time daily user of free and open-source software (e.g., Linux, Anki, draw.io, and pdftk), I aspire to contribute back to the open-source community by developing tools and sharing my work.
🎯 Research Interests (in order of competence)
  1. 👀 2D/3D Computer Vision
  2. ❄️ Graph ML & Geometric Deep Learning (GDL)
  3. 🤖 Robot Learning
🧰 Toolbox
CategoryTools
ML & DeepLearningPythonPyTorchTensorflowKerasNumPyPandasRay
Computer VisionOpenCVPIL
Agentic AIOpenEnvTorchForgeOpenClaw
Graph MLigraphNetworkXPyTorchGeometricTensorFlow GNNDGL
NLPLangChainOllama
BigDataPySparkHadoop
DatabaseMYSQLPostgresql
Web DevelopmentJScriptCSS3HTML5DjangoFlaskFast_API
DeploymentDockerAWS
MiscBash ScriptVimLaTeX
2D/3D SoftwaresBlender3DsMaxAutoCad

Pinned
Loading
  1. crack-binary-semantic-segmentaioncrack-binary-semantic-segmentaionPublic
    
A Crack Binary Semantic Segmentation Project written purely in PyTorch. Although I have used a crack dataset, one can fine-tune this model with their own binary segmentation data (e.g., medical ima…

    Jupyter Notebook
3

  2. CHB-image_classification_GradCamCHB-image_classification_GradCamPublic
    
Using four different CNN architectures in an endeavor to detect built heritage in need of preservation and approximately localize the existent damage therein using the GradCam technique.

    Jupyter Notebook
3

  3. SNA-pointcloudSNA-pointcloudPublic
    
Using Social Network Analysis (SNA) and community detection on point cloud data, in an endeavor to do part segmentation.

    Jupyter Notebook
  4. local-llmlocal-llmPublic
    
A secure, local llm powered by Ollama, Langchain, and Streamlit . It supports files attachments including (1) images, (2) texts, (3) spreadsheets, (4) PDFs, and (5) Webpages.. 
    Python
  5. project-template-aiproject-template-aiPublic template
    
Project Repo Template (With License) for AI research projects. This template uses CI/CD (Github Actions) and supports automatic documentation with Sphinx.

    Makefile