A repository with academic works about Kernel generation with LLM Agent

Neural Combinatorial Optimization

Recent research papers about Foundation Models for Combinatorial Optimization

RTL-to-Vector-to-GDS

[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

[AAAI 2026] Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization

Implementations of DeepPlace, PRNet, HubRouter, PreRoutGNN, FlexPlanner and DSBRouter.

A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).

Awesome machine learning for combinatorial optimization papers.

[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges

AI4EDA: AI Works for Electronic Design Automation

PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL Verification

MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design

Repo for SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting (ISCA25)

A new LLM solution for RTL code generation, achieving state-of-the-art performance in non-commercial solutions and outperforming GPT-3.5.

Verilog evaluation benchmark for large language model

An open-source benchmark for generating design RTL with natural language

A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

The agent engineering platform.

LLM inference in C/C++

A high-throughput and memory-efficient inference and serving engine for LLMs