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,…
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…
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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 Industrial Grade Federated Learning Framework
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Automatic architecture search and hyperparameter optimization for PyTorch
Deep Learning Pipelines for Apache Spark
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Natural Gradient Boosting for Probabilistic Prediction
The basic distribution probability Tutorial for Deep Learning Researchers
Code for the Kaggle Ensembling Guide Article on MLWave
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Four word embedding models implemented in Python. Supporting arbitrary context features