Best Open Source scikit learn Libraries
A curated list of the most popular GitHub repositories tagged with scikit learn. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
#2Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
#3jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
#4apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
#5donnemartin/data-science-ipython-notebooks
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.
#6ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
#7lukasmasuch/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
#8onnx/onnx
Open standard for machine learning interoperability
#9microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
#10virgili0/Virgilio
Your new Mentor for Data Science E-Learning.
#11dask/dask
Parallel computing with task scheduling
#12rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
#13sktime/sktime
A unified framework for machine learning with time series
#14ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
#15interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
#16adap/flower
Flower: A Friendly Federated AI Framework