Stars
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A curated list of awesome Machine Learning frameworks, libraries and software.
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,…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…
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
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A collection of various deep learning architectures, models, and tips
Your new Mentor for Data Science E-Learning.
The "Python Machine Learning (1st edition)" book code repository and info resource
100+ Chinese Word Vectors 上百种预训练中文词向量
手写实现李航《统计学习方法》书中全部算法
Perform data science on data that remains in someone else's server
Fast and Accurate ML in 3 Lines of Code
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Ready-to-run Docker images containing Jupyter applications
An annotated implementation of the Transformer paper.
An Industrial Grade Federated Learning Framework
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
An industrial deep learning framework for high-dimension sparse data
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules