scikit-learn
Avik-Jain/100-Days-Of-ML-Code503日前42.7k
100 Days of ML Coding
jakevdp/PythonDataScienceHandbook503日前40.9k
Python Data Science Handbook: full text in Jupyter Notebooks
apachecn/ailearning502日前37.5k
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
donnemartin/data-science-ipython-notebooks503日前26.1k
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.
ageron/handson-ml503日前25.1k
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
onnx/onnx502日前16.4k
Open standard for machine learning interoperability
ml-tooling/best-of-ml-python503日前15.1k
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
virgili0/Virgilio504日前13.5k
Your new Mentor for Data Science E-Learning.
rasbt/python-machine-learning-book503日前12.1k
The "Python Machine Learning (1st edition)" book code repository and info resource
microsoft/onnxruntime502日前12.0k
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
dask/dask502日前11.8k
Parallel computing with task scheduling
EpistasisLab/tpot503日前9.4k
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Yorko/mlcourse.ai503日前9.3k
Open Machine Learning Course
ljpzzz/machinelearning502日前8.0k
My blogs and code for machine learning. http://cnblogs.com/pinard
automl/auto-sklearn502日前7.3k
Automated Machine Learning with scikit-learn
sktime/sktime502日前7.2k
A unified framework for machine learning with time series
rasbt/python-machine-learning-book-2nd-edition504日前7.0k
The "Python Machine Learning (2nd edition)" book code repository and info resource
alteryx/featuretools503日前7.0k
An open source python library for automated feature engineering
autogluon/autogluon502日前6.8k
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
DistrictDataLabs/yellowbrick502日前4.2k
Visual analysis and diagnostic tools to facilitate machine learning model selection.
BayesWitnesses/m2cgen503日前2.7k
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
MilesCranmer/PySR502日前1.6k
High-Performance Symbolic Regression in Python and Julia