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love neural networks
85 followers · 11 following

Achievements

Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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LdDl/README.md

Welcome to my cosy repos page!

counter

Developer in computer vision / telemetry (GPS) fields

  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory

Connect with me:

LdDlLdDl | TwitterLdDl | LinkedIn


Languages and Tools:

GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu

Support:

You witness me, I'm happy.

LdDl's Github Stats

@lddl's Holopin board

Pinned Loading

  1. chchPublic

    Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go 55 8

  2. go-darknetgo-darknetPublic

    Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go 83 19

  3. go-egtsgo-egtsPublic

    EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go 17 9

  4. cnnscnnsPublic

    Convolutional Neural Networks in Go

    Go 53 7

  5. gan-gogan-goPublic

    Generative Adversarial Network in Go via Gorgonia

    Go 87 9

  6. yolo-goyolo-goPublic

    Port of Darknet YOLO for Go ecosystem

    Go 29 3

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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btn.onmouseover = function() { this.style.opacity = '1'; };
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// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Highlights
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Pro


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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Highlights
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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
LdDl (Dimitriy Lopanov) · GitHub
Skip to content
View LdDl's full-sized avatar
🤡
love neural networks
🤡
love neural networks
85
followers
 · 11
following

Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Highlights
  • 
Pro


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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

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Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

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Port of Darknet YOLO for Go ecosystem

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3


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filter: invert(1) hue-rotate(180deg) !important;
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filter: none !important;
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
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::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
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if (style) style.remove();
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if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
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applyDarkMode();
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
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LdDl (Dimitriy Lopanov) · GitHub
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love neural networks
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love neural networks
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Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
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LdDl/README.md
Welcome to my cosy repos page!
counter
Developer in computer vision / telemetry (GPS) fields
  • 💼 I’m currently working on a Horizon - map matching library for GPS tracks; and ODaM - Object Detection and Monitoring via GoCV and go-darknet; and Generative Adversarial Networks (GANs) in Golang - https://github.com/LdDl/gan-go
  • 🥅 My current goals: improve hobby projects quality and contribute to open source, implement GAN and other interesting neural networks architectures in Golang, learn Rust programming language (oh, here is my toy project for road traffic monitoring in Rust).
  • 📖 Interests: applied mathematics, neural networks, graph theory
Connect with me:
LdDlLdDl | TwitterLdDl | LinkedIn

Languages and Tools:
GolangVisual Studio CodePostgreSQLGraphQLRustGitGitHubGorgoniaTerminalUbuntu
Support:
You witness me, I'm happy.

LdDl's Github Stats
@lddl's Holopin board

Pinned
Loading
  1. chchPublic
    
Contraction Hierarchies (with bidirectional version of Dijkstra's algorithm) technique for computing shortest path in graph.

    Go
55

8

  2. go-darknetgo-darknetPublic
    
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)

    Go
83

19

  3. go-egtsgo-egtsPublic
    
EGTS (Era Glonass Telematics Standard) parsing via Golang

    Go
17

9

  4. cnnscnnsPublic
    
Convolutional Neural Networks in Go

    Go
53

7

  5. gan-gogan-goPublic
    
Generative Adversarial Network in Go via Gorgonia

    Go
87

9

  6. yolo-goyolo-goPublic
    
Port of Darknet YOLO for Go ecosystem

    Go
29

3