[ICME 2026] Official implementation of Auto-Slides: Automatic Academic Presentation Generation with Multi-Agent Collaboration

My learning notes for ML SYS.

It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.

Pipeline Parallelism Emulation and Visualization

基于C语言实现内存型数据库（kv存储）

Distributed Compiler based on Triton for Parallel Systems

paper and its code for AI System

Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques

DeepEP: an efficient expert-parallel communication library

Community maintained hardware plugin for vLLM on Ascend

Learnings and programs related to CUDA

Tracing packets in the Linux networking stack & friends

An annotated implementation of the Transformer paper.

Demystifying Datapath Accelerator Enhanced Off-path SmartNIC [ICNP24]

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

An implementation of a deep learning recommendation model (DLRM)

A self-learning tutorail for CUDA High Performance Programing.

Systems for GenAI

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Here are my personal paper reading notes (including machine learning systems, AI infrastructure, and other interesting stuffs).