Stars
Google Research
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Data Science Using Python
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A better notebook for Scala (and more)
Plain python implementations of basic machine learning algorithms
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
Open-source demos hosted on Dash Gallery
Feature selector is a tool for dimensionality reduction of machine learning datasets
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
A practical feature engineering handbook
利用 LSTM 进行中文的文本生成. PyTorch implement