kaist-silab/awesome-graph-pde

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Updated over 2 years ago

kaist-silab/awesome-graph-pde

kaist-silab

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Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

rl4co

Reinforcement Learning (RL) for Combinatorial Optimization (CO) library

Jupyter Notebook

arcsim

ARCSim 0.3.1 Fixes and Installer Script for Linux and MacOS

equity-transformer

devformer

[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"

graphsplinenets

[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"

Jupyter Notebook

design-baselines-fixes

Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)

meta-sage

[ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization

bootgen

[NeurIPS 23] Official code for BootGen: "Bootstrapped Training of Score Conditioned Generator for Offline Biological Design"

sym-rd

HiMAP

[AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

rl4co-homepage

website

Website for KAIST Systems Intelligence Laboratory (WIP)

symmetric_replay