wandb / wandbView external linksLinks
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
☆10,815Updated this week
Alternatives and similar repositories for wandb
Users that are interested in wandb are comparing it to the libraries listed below
Sorting:
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,823Feb 4, 2026Updated last week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆41,578Feb 7, 2026Updated last week
- The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, …☆24,051Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆41,176Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆34,848Updated this week
- Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!☆41,593Feb 2, 2026Updated last week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆156,173Feb 7, 2026Updated last week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,491Feb 6, 2026Updated last week
- A hyperparameter optimization framework☆13,482Feb 4, 2026Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆70,205Updated this week
- Fast and memory-efficient exact attention☆22,231Updated this week
- A library for efficient similarity search and clustering of dense vectors.☆39,076Updated this week
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools☆21,185Feb 4, 2026Updated last week
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,143Sep 30, 2025Updated 4 months ago
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,619Updated this week
- Streamlit — A faster way to build and share data apps.☆43,477Updated this week
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,342Jul 3, 2024Updated last year
- Visualizer for neural network, deep learning and machine learning models☆32,383Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,395Jan 26, 2026Updated 2 weeks ago
- Hydra is a framework for elegantly configuring complex applications☆10,181Updated this week
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆22,021Jan 23, 2026Updated 3 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,910Jan 26, 2026Updated 2 weeks ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,351Updated this week
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.☆32,768Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆97,298Updated this week
- Making large AI models cheaper, faster and more accessible☆41,346Jan 19, 2026Updated 3 weeks ago
- Graph Neural Network Library for PyTorch☆23,469Updated this week
- Google Research☆37,233Feb 6, 2026Updated last week
- Train transformer language models with reinforcement learning.☆17,360Updated this week
- Label Studio is a multi-type data labeling and annotation tool with standardized output format☆26,414Updated this week
- 🦉 Data Versioning and ML Experiments☆15,347Feb 1, 2026Updated last week
- Development repository for the Triton language and compiler☆18,387Updated this week
- Ongoing research training transformer models at scale☆15,162Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,435Updated this week
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆32,562Jul 23, 2024Updated last year
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆10,336Feb 5, 2026Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,668Dec 1, 2025Updated 2 months ago
- Open standard for machine learning interoperability☆20,295Updated this week
- AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file convert…☆24,162Updated this week