4M: Massively Multimodal Masked Modeling

Hypergraph Neural Network-Based Combinatorial Optimization

2024 好用的付费机场推荐

Accelerated pose estimation and tracking using semi-supervised convolutional networks.

LLM101n: Let's build a Storyteller

Fine-tune LLM agents with online reinforcement learning

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust

Datasets for EDA LLM research

Website for the OpenROAD tutorial held at the MICRO 2022 conference

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

LLM-Enhanced Bayesian Optimization for Efficient Analog Constraint Generation

Graph convolutional memory for reinforcement learning

reinforcement learning with pytorch geometric library

A GPT-GNN based verilog netlist partitioner for 3D IC design

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).

Generalized Population-Based Training With Pairwise Learning (GPBT-PL)

Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)

Code for reproducing the experiment results in GraphComBO.