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A PyTorch native library for large-scale model training
Preserve types when dumping and loading data with JSON in Python
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
D2Go is a toolkit for efficient deep learning
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
VoxelCNN: Order-Aware Generative Modeling Using the 3D-Craft Dataset
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
OpenMMLab Detection Toolbox and Benchmark
3D visualization of scientific data in Python
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Open3D: A Modern Library for 3D Data Processing
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A simple, fast and user-friendly alternative to 'find'
Legacy mirror of Darwin Kernel. Replaced by https://github.com/apple-oss-distributions/xnu
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Person Search with Natural Language Description