A curated list of awesome Machine Learning frameworks, libraries and software.
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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
A curated list of practical financial machine learning tools and applications.
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A curated list of network embedding techniques.
- network-embedding
- representation-learning
- graph-embeddings
- knowledge-graph
A curated list of awesome tools, utils and projects using Playwright
📗 How to write cross-platform Node.js code
🤠 Object property paths with wildcards and regexps 🌵
- nodejs
- javascript
- map
- json
Algorithm and data-structure library for .NET 4.5.2+/Netstandard 2.0+. Algorithmia contains sophisticated algorithms and data-structures like graphs, priority queues, command, undo-redo and more.
the best machine learning tutorials on the web
Fast cartesian product
- cartesian
- cartesian-product
- performance
- sets
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette