Lists (3)
Stars
📚 Freely available programming books
Ideogram 4: Open image model at the forefront of design
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A Datacenter Scale Distributed Inference Serving Framework
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Large DNNs training framework for consumer GPUs
Paperclip — search, read, and analyze 8M+ biomedical papers from the command line
DFlash: Block Diffusion for Flash Speculative Decoding
A high-throughput and memory-efficient inference and serving engine for LLMs
A lightweight, powerful framework for multi-agent workflows
Open-source benchmark for browser AI agents on daily tasks.
A repository documenting my learning journey in 2025. Covers key insights, projects, experiments, and notes on various topics. Continuously updated with new concepts, resources, and personal reflec…
DevBranding is a blog for software engineers on system design and CI/CD pipelines. Explore best practices, pipeline architectures, automation strategies, and professional GitHub branding tips to en…
A concise, step-by-step guide to programming essentials—perfect for beginners, skill-refreshers, and anyone committed to writing cleaner, more reliable code.
A scalable PyTorch training framework with built-in optimizer, scheduler, and distributed backend support.
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs…
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance…
tiktoken is a fast BPE tokeniser for use with OpenAI's models.