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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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('^' + ".*" + '
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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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('^' + ".*" + '
Skip to content
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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2

, '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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parthsuresh/README.md

Hi there 👋

I'm Parth, a Member of Technical Staff at DatologyAI, where I work on synthetic methods to generate training data for foundation models.

Some of my topics of interest include Large Language Models, Multimodal Models, Machine Learning for Software Engineering, Natural Language Processing and Computer Vision for Medical Imaging.

Pinned Loading

  1. 3dvhog3dvhogPublic

    Python implementation of 3D Voxel HOG from the paper "A 3D Scene Analysis Framework and Descriptors for Risk Evaluation" by Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos.

    Python 8

  2. classical-brute-force-machineclassical-brute-force-machinePublic

    Simple framework that runs grid search over several machine learning models for classification and regression.

    Jupyter Notebook

  3. eczema-classifiereczema-classifierPublic

    An android app that can classify eczema into 7 types : atopic dermatitis, contact dermatitis, hand eczema, nummular eczema, stasis dermatitis, dyshidrotic eczema and neurodermatitis from an image t…

    Kotlin 1 1

  4. limited-pixel-attack-reinforcement-learninglimited-pixel-attack-reinforcement-learningPublic

    ** In Progress ** Novel method of performing limited pixel adversarial attacks using Reinforcement Learning.

    Python 2