Can AI Agents Build Bespoke Systems?

Tile-Based Runtime for Ultra-Low-Latency LLM Inference

[MLSys 2026] AccelOpt: Self-improving Agents for AI Accelerator Kernel Optimization

The best ChatGPT that $100 can buy.

NKIPy: Rapid Prototyping on Trainium

A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

Open ABI and FFI for Machine Learning Systems

JAX backend for SGL

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytor…

TPU inference for vLLM, with unified JAX and PyTorch support.

Muon is Scalable for LLM Training

🚀 Efficient implementations for emerging model architectures

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

Muon is an optimizer for hidden layers in neural networks

A Datacenter Scale Distributed Inference Serving Framework

A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

SGLang is a high-performance serving framework for large language models and multimodal models.

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

Supercharge Your Model Training

LLM training code for Databricks foundation models

NumPy and SciPy on Multi-Node Multi-GPU systems

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Memray is a memory profiler for Python

An Extensible Deep Learning Library

Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs

AutoBangumi - 全自动追番工具