GitHub repo leaderboard by stars, growth rate and activity.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
a delightful machine learning tool that allows you to train, test, and use models without writing code
A set of tools to use in Microsoft Azure Form Recognizer and OCR services.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all | Jupyter Notebook | 90,279 | — | last pushed 2 days ago |
| 2 | Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. | Python | 62,319 | — | last pushed 2 days ago |
| 3 | a delightful machine learning tool that allows you to train, test, and use models without writing code | Python | 3,138 | — | last pushed 9 months ago |
| 4 | A set of tools to use in Microsoft Azure Form Recognizer and OCR services. | TypeScript | 539 | — | last pushed 1 year ago |
| 5 | Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std. | Python | 428 | — | last pushed 7 years ago |
| 6 | Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis) | Jupyter Notebook | 284 | — | last pushed 10 years ago |
| 7 | Machine Learning repository for MQL5 | MQL5 | 270 | — | last pushed 4 weeks ago |
All · 11,474