A Foundation Model for Generalist Gaming Agents

A talking LLM that runs on your own computer without needing the internet.

Finetune a LLM to speak like you based on your WhatsApp Conversations

Complete solutions to the Programming Massively Parallel Processors Edition 4

计算机自学指南

NaturalCC: An Open-Source Toolkit for Code Intelligence

Code for "Typilus: Neural Type Hints" PLDI 2020

Geometric-Mean Policy Optimization

Implementing DeepSeek R1's GRPO algorithm from scratch

A suite of RL agents to learn Geometry Dash, and a C++ mod to control/see the game.

PRML algorithms implemented in Python

Implement some reinforcement learning algorithms, test and visualize on Pacman.

👾 RL agent that completes the Battle City arcade game

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

华中科技大学研究生课程资料

A program set in Hunan University which used as OPC(Optical Proximity Correction)

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

The full dataset behind paperswithcode.com

Platform for designing and evaluating Graph Neural Networks (GNN)

Recipe for a General, Powerful, Scalable Graph Transformer

Graph Neural Network Library for PyTorch

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing

Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs

[ICCAD25] LMLitho

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

This Repo Contains the Source Code and Pretrained Model for the Paper "Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning", which is published in 54th Design Automatio…

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".

Code for our paper "Attending to Graph Transformers"

Graph Attention Networks (https://arxiv.org/abs/1710.10903)