SwanLab alternatives for AI agents.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Deep Learning for humans

💫 Industrial-strength Natural Language Processing (NLP) in Python

Low-code framework for building custom LLMs, neural networks, and other AI models

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

A python library for user-friendly forecasting and anomaly detection on time series.

Fast and Accurate ML in 3 Lines of Code

Time series forecasting with PyTorch

Probabilistic time series modeling in Python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Seamlessly integrate LLMs into scikit-learn.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.