machine-learning

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

An open source python library for automated feature engineering

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

Efficiently computes derivatives of NumPy code.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A customisable 3D platform for agent-based AI research

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

Visualizations for machine learning datasets

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

The Open Source Feature Store for AI/ML

The "Python Machine Learning (2nd edition)" book code repository and info resource

Real-Time High-Resolution Background Matting

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web

Flower: A Friendly Federated AI Framework

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai