The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
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The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
TensorFlow-based neural network library
A python library for user-friendly forecasting and anomaly detection on time series.
Deep learning library featuring a higher-level API for TensorFlow.
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
AutoML library for deep learning
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Deep universal probabilistic programming with Python and PyTorch
AI Toolkit for Healthcare Imaging
AlphaFold 3 inference pipeline.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
A collection of libraries to optimise AI model performances
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Efficiently computes derivatives of NumPy code.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology