Stars
Bot-based system for interacting with Claude CLI on remote machines via Discord, Telegram, and Lark
Accelerating Long Context LLM Inference with Accuracy-Preserving Context Optimization in SGLang, vLLM, llama.cpp, OpenClaw, RAG, and Agentic AI.
WaferLLM: Large Language Model Inference at Wafer Scale
PyTorch library for cost-effective, fast and easy serving of MoE models.
Training language models to make programs faster
LaTeX template for ERC proposals
Serverless LLM Serving for Everyone.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A library for doing homomorphic encryption operations on tensors
A complete computer science study plan to become a software engineer.
A multithreaded, distributed, GPU-accelerated simulator of quantum computers
Interview questions for Computer Science faculty jobs
High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Tutorials for writing high-performance GPU operators in AI frameworks.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
Next generation of ADIOS developed in the Exascale Computing Program
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Massively parallel rigidbody physics simulation on accelerator hardware.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.