GitHub repo leaderboard by stars, growth rate and activity.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Seamlessly integrate LLMs into scikit-learn.
a delightful machine learning tool that allows you to train, test, and use models without writing code
General Assembly's 2015 Data Science course in Washington, DC
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 | AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 | Python | 42,518 | — | last pushed 2 years ago |
| 3 | Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | Python | 29,343 | — | last pushed 2 years ago |
| 4 | 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | — | 23,793 | — | last pushed 1 week ago |
| 5 | ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator | C++ | 21,798 | — | last pushed 2 days ago |
| 6 | A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. | Jupyter Notebook | 10,051 | — | last pushed 1 year ago |
| 7 | Seamlessly integrate LLMs into scikit-learn. | Python | 3,530 | — | last pushed 1 week ago |
| 8 | 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 |
| 9 | General Assembly's 2015 Data Science course in Washington, DC | Jupyter Notebook | 1,620 | — | last pushed 2 years ago |
| 10 | Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis) | Jupyter Notebook | 284 | — | last pushed 10 years ago |
All · 11,474