65,264 visible repositories in the index
25–48 of 146 · Most stars
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
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
A free, online learning platform to make quality education accessible for all.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
CUDA accelerated rasterization of gaussian splatting
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
computer vision and sports
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
NVIDIA cuML: GPU-Accelerated Machine Learning
State of the art inference performance with modern accelerators on Kubernetes
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
A PyTorch Library for Accelerating 3D Deep Learning Research
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
Uses WiFi signals :signal_strength: and machine learning to predict where you are
Successor of Undetected-Chromedriver. Providing a blazing fast framework for web automation, webscraping, bots and any other creative ideas which are normally hindered by annoying anti bot systems like Captcha / CloudFlare / Imperva / hCaptcha
A unified inference and post-training framework for accelerated video generation.
Nginx UI allows you to access and modify the nginx configurations files without cli.
TranslatedA knowledge base for red teaming and offensive security.
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.