Fast low-bit matmul kernels in Triton

Large Language Model (LLM) Systems Paper List

A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.

Automatic differentiation for Triton Kernels

Rich is a Python library for rich text and beautiful formatting in the terminal.

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.

Google's Operations Research tools:

XLS: Accelerated HW Synthesis

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

A Survey on Large Language Model-Based Game Agents

Must-read Papers on LLM Agents.

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

The MiBench testsuite, extended for use in general embedded environments

Web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

DPLL(T)-based Verification tool for DNNs

NumPy ufuncs and utilities.

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Development repository for the Triton language and compiler

A Top-Down Profiler for GPU Applications

Trace Replay and Network Simulation Framework

A performance library for machine learning applications.

A beautiful, simple, clean, and responsive Jekyll theme for academics