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FSI Examples

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  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

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GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

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307 stars

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17 watching

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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

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307 stars

Watchers

17 watching

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, '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('^' + ".*" + ' GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

Stars

307 stars

Watchers

17 watching

Forks

Releases

Packages

Used by

Contributors

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, '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" + ' GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

Stars

307 stars

Watchers

17 watching

Forks

Releases

Packages

Used by

Contributors

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, '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('^' + ".*" + ' GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

Stars

307 stars

Watchers

17 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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('^' + ".*" + ' GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

Stars

307 stars

Watchers

17 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { 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 */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .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); } })(); })(); GitHub - NVIDIA/fsi-samples: A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask. · GitHub
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FSI Examples

Repo Index

  1. autoencoder_statarb - Train a TensorFlow-based deep autoencoder on log returns for the Dow Jones 30 securities in a technique is known as Statistical Arbitrage. Profit from temporary mispricings.
  2. backtesting_equity_investment_strats - Compute Sharpe Ratio on entire set of NYSE/NASDAQ stocks and, through bootstrapping, examine a robust number of potential market scenarios for stock selection and PnL measurement against the S&P Index.
  3. credit_default_risk - Use the widely available public U.S. Fannie Mae mortgage dataset to train classifers for predicting loan delinquencies and examine explanations.
  4. gQuant - An external plugin with a set of nodes for quantitative analyst tasks, built on top of the RAPIDS AI project, Numba, and Dask.
  5. greenflow - A graph computation toolkit that helps you to organize the workflows in graph computation.
  6. greenflowlab - A JupyterLab plugin that provides the UI interface for greenflow.
  7. nlp_demo_riva - a simple conversational AI demo that you can ask the question to AI about the provided context text and get the answer back in speech.

About

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Resources

Stars

307 stars

Watchers

17 watching

Forks

Releases

Packages

Used by

Contributors

Languages