View manelw's full-sized avatar

    Block or report manelw

    Block user

    Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

    You must be logged in to block users.

    Content in all repositories owned by your account will be closed.
    Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
    Report abuse

    Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

    Report abuse

    Popular repositories Loading

    1. Cardiac-Pathology-Prediction Cardiac-Pathology-PredictionPublic

      IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

      Jupyter Notebook 1

    2. Generative-models Generative-modelsPublic

      Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

      Jupyter Notebook 1

    3. automatic-color-palette automatic-color-palettePublic

      Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

      Jupyter Notebook

    4. IMA203 IMA203Public

      Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

      Jupyter Notebook

    5. IMA204 IMA204Public

      Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

      Jupyter Notebook

    6. IMA205 IMA205Public

      Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

      Jupyter Notebook

    , '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" + '

    Skip to content
    View manelw's full-sized avatar
      
Block or report manelw

      Block user
      
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

      
You must be logged in to block users.

      
Content in all repositories owned by your account will be closed.

      
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

      Report abuse
      
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

      Report abuse
      
Popular repositories
Loading
      1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
        
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

        Jupyter Notebook
1

      2. 
Generative-models
Generative-modelsPublic
        
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

        Jupyter Notebook
1

      3. 
automatic-color-palette
automatic-color-palettePublic
        
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

        Jupyter Notebook
      4. 
IMA203
IMA203Public
        
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

        Jupyter Notebook
      5. 
IMA204
IMA204Public
        
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

        Jupyter Notebook
      6. 
IMA205
IMA205Public
        
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

        Jupyter Notebook
      
, '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
      View manelw's full-sized avatar
        
Block or report manelw

        Block user
        
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

        
You must be logged in to block users.

        
Content in all repositories owned by your account will be closed.

        
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

        Report abuse
        
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

        Report abuse
        
Popular repositories
Loading
        1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
          
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

          Jupyter Notebook
1

        2. 
Generative-models
Generative-modelsPublic
          
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

          Jupyter Notebook
1

        3. 
automatic-color-palette
automatic-color-palettePublic
          
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

          Jupyter Notebook
        4. 
IMA203
IMA203Public
          
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

          Jupyter Notebook
        5. 
IMA204
IMA204Public
          
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

          Jupyter Notebook
        6. 
IMA205
IMA205Public
          
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

          Jupyter Notebook
        
, '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
        View manelw's full-sized avatar
          
Block or report manelw

          Block user
          
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

          
You must be logged in to block users.

          
Content in all repositories owned by your account will be closed.

          
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

          Report abuse
          
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

          Report abuse
          
Popular repositories
Loading
          1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
            
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

            Jupyter Notebook
1

          2. 
Generative-models
Generative-modelsPublic
            
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

            Jupyter Notebook
1

          3. 
automatic-color-palette
automatic-color-palettePublic
            
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

            Jupyter Notebook
          4. 
IMA203
IMA203Public
            
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

            Jupyter Notebook
          5. 
IMA204
IMA204Public
            
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

            Jupyter Notebook
          6. 
IMA205
IMA205Public
            
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

            Jupyter Notebook
          
, '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" + '

          Skip to content
          View manelw's full-sized avatar
            
Block or report manelw

            Block user
            
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

            
You must be logged in to block users.

            
Content in all repositories owned by your account will be closed.

            
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

            Report abuse
            
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

            Report abuse
            
Popular repositories
Loading
            1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
              
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

              Jupyter Notebook
1

            2. 
Generative-models
Generative-modelsPublic
              
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

              Jupyter Notebook
1

            3. 
automatic-color-palette
automatic-color-palettePublic
              
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

              Jupyter Notebook
            4. 
IMA203
IMA203Public
              
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

              Jupyter Notebook
            5. 
IMA204
IMA204Public
              
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

              Jupyter Notebook
            6. 
IMA205
IMA205Public
              
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

              Jupyter Notebook
            
, '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
            View manelw's full-sized avatar
              
Block or report manelw

              Block user
              
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

              
You must be logged in to block users.

              
Content in all repositories owned by your account will be closed.

              
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

              Report abuse
              
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

              Report abuse
              
Popular repositories
Loading
              1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
                
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

                Jupyter Notebook
1

              2. 
Generative-models
Generative-modelsPublic
                
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

                Jupyter Notebook
1

              3. 
automatic-color-palette
automatic-color-palettePublic
                
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

                Jupyter Notebook
              4. 
IMA203
IMA203Public
                
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

                Jupyter Notebook
              5. 
IMA204
IMA204Public
                
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

                Jupyter Notebook
              6. 
IMA205
IMA205Public
                
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

                Jupyter Notebook
              
, '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
              View manelw's full-sized avatar
                
Block or report manelw

                Block user
                
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

                
You must be logged in to block users.

                
Content in all repositories owned by your account will be closed.

                
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

                Report abuse
                
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

                Report abuse
                
Popular repositories
Loading
                1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
                  
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

                  Jupyter Notebook
1

                2. 
Generative-models
Generative-modelsPublic
                  
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

                  Jupyter Notebook
1

                3. 
automatic-color-palette
automatic-color-palettePublic
                  
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

                  Jupyter Notebook
                4. 
IMA203
IMA203Public
                  
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

                  Jupyter Notebook
                5. 
IMA204
IMA204Public
                  
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

                  Jupyter Notebook
                6. 
IMA205
IMA205Public
                  
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

                  Jupyter Notebook
                
, '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); }
})();
})();

                Skip to content
                View manelw's full-sized avatar
                  
Block or report manelw

                  Block user
                  
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

                  
You must be logged in to block users.

                  
Content in all repositories owned by your account will be closed.

                  
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

                  Report abuse
                  
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

                  Report abuse
                  
Popular repositories
Loading
                  1. 
Cardiac-Pathology-Prediction
Cardiac-Pathology-PredictionPublic
                    
IMA205 Challenge 2025 - Télécom Paris: Developping a method for the automatic diagnosis of cardiac diseases using cine MRI data.

                    Jupyter Notebook
1

                  2. 
Generative-models
Generative-modelsPublic
                    
Labs from the course IMA206: Generative models, Patch based methods and Computational photography from Télécom Paris

                    Jupyter Notebook
1

                  3. 
automatic-color-palette
automatic-color-palettePublic
                    
Project: Automatic Color Palette Creation for Images | 2024 Télécom Paris | Developed a method to automatically generate optimized color palettes tailored for images, for applications in compressi…

                    Jupyter Notebook
                  4. 
IMA203
IMA203Public
                    
Labs of the course IMA203 - Variational and Bayesian methods and discrete optimization from Télécom Paris (2024-2025).

                    Jupyter Notebook
                  5. 
IMA204
IMA204Public
                    
Labs of the course IMA204 - Medical and biological imaging / Knowledge representation from Télécom Paris (2024-2025).

                    Jupyter Notebook
                  6. 
IMA205
IMA205Public
                    
Labs of the course IMA205 - Learning for image and object recognition from Télécom Paris (2024-2025)

                    Jupyter Notebook