Stars
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open-source simulator for autonomous driving research.
Visualizer for neural network, deep learning and machine learning models
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Apache Superset is a Data Visualization and Data Exploration Platform
Refine high-quality datasets and visual AI models
Open standard for machine learning interoperability
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Datasets, Transforms and Models specific to Computer Vision
Graph Neural Network Library for PyTorch
darktable is an open source photography workflow application and raw developer
A library for efficient similarity search and clustering of dense vectors.
Reliable, minimal and scalable library for pretraining foundation and world models
Models and examples built with TensorFlow
Emerge-Lab / PufferDrive
Forked from PufferAI/PufferLibpuffer_drive dev
🤗 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.
A generative world for general-purpose robotics & embodied AI learning.
JupyterLab computational environment.
LaTeX support for the IntelliJ platform by JetBrains.
The fundamental package for scientific computing with Python.