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farnazgh/README.md

🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟

Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.

🔬 Research Focus:

  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.

💡 Current Projects:
1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems.
2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.
3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.

✨ Technical Skills:
Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..

Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️

📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned Loading

  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic

    Data analysis of Covid Virus spread in different countries

    Jupyter Notebook

  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic

    Non-negative matrix factorization method

    Jupyter Notebook

  3. Lyrics-GeneratorLyrics-GeneratorPublic

    Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook

  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic

    CRF-LSTM model for slotfilling

    Jupyter Notebook

  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic

    supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook 1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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function addCopyButtons() {
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btn.textContent = 'Copy';
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btn.textContent = 'Copied!';
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observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
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var style = document.createElement('style');
style.textContent = '
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color-scheme: dark light;
}
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document.head.appendChild(style);
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}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


, '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));
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if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
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highlight(document.body);
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mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
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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('^' + ".*" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


, '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" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


, '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('^' + ".*" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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:octocat:
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 · 1
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


, '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('^' + ".*" + '
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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 · 1
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
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  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1


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var enabled = true;
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style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
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[data-theme="light"], [data-theme="light"],
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.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
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 */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
farnazgh (Farnaz Ghassemi Toudeshki) · GitHub
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farnazgh/README.md
🚀 R&D Engineer | Machine Learning | NLP Enthusiast 🌟
Welcome to my GitHub profile! I'm passionate about staying at the forefront of ML research and leveraging NLP to solve real-world challenges. With a strong interest in pushing the boundaries of technology, I continuously follow state-of-the-art ML advancements to drive innovation.
🔬 Research Focus:
  • Keeping up with the latest advancements in ML, exploring cutting-edge techniques, and understanding their applications.
  • Enhancing existing methodologies by building upon state-of-the-art machine learning algorithms.
  • Testing and implementing state-of-the-art technologies to address the complex issues faced by companies, bringing practical solutions to the table.
💡 Current Projects:

1️⃣ Enhancing Safety in Dialogs: Leveraging prompt-generated synthetic data to improve safety measures in conversational AI systems. 

2️⃣ Controlling Text Generation: Applying retrieval augmented approaches to gain more control and coherence in generating natural language text.

3️⃣ User Behavior Extraction and Tracking: Extracting valuable insights from dialog sessions to track and understand user behavior patterns, facilitating personalized interactions.
✨ Technical Skills:

Machine Learning, Natural Language Processing (NLP), Deep Learning, Python, TensorFlow, PyTorch, Scikit-learn, Neural Networks, ..
Let's collaborate and drive the future of ML and NLP together! Connect with me and let's create intelligent systems that make a difference. 🌍✌️
📫 You can reach my research notes in Medium or connect with me on LinkedIn.

Pinned
Loading
  1. Covid19-Data-AnalysisCovid19-Data-AnalysisPublic
    
Data analysis of Covid Virus spread in different countries

    Jupyter Notebook
  2. Recommender-system-by-NMFRecommender-system-by-NMFPublic
    
Non-negative matrix factorization method

    Jupyter Notebook
  3. Lyrics-GeneratorLyrics-GeneratorPublic
    
Lyric generation by LSTM and statisitcal methods

    Jupyter Notebook
  4. CRF-LSTM-for-SlotfillingCRF-LSTM-for-SlotfillingPublic
    
CRF-LSTM model for slotfilling

    Jupyter Notebook
  5. Somerville-Happiness-SurveySomerville-Happiness-SurveyPublic
    
supervised models to predict the happiness by entering categorical features as input

    Jupyter Notebook
1

  6. se2seq-chatbot-pytorchse2seq-chatbot-pytorchPublic
    Python
1