A Julia wrapper for the Concorde TSP Solver.

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Arduino FOC for BLDC and Stepper motors - Arduino Based Field Oriented Control Algorithm Library

DC3: A Learning Method for Optimization with Hard Constraints

OptNet: Differentiable Optimization as a Layer in Neural Networks

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

Code, technical details and links to datasets and trained models for TopoDiff

Topology Optimization using Python

A Library for Advanced Neural PDE Solvers.

Implementation of Physics-Informed Diffusion Models (ICLR 2025)

A curated list of awesome model based RL resources (continually updated)

Generative Flow Networks - GFlowNet

Crystal graph convolutional neural networks for predicting material properties.

CartNet repository to predict properties from crystal structures

A modular, easy to extend GFlowNet library

Neural Combinatorial Optimization

This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.

A Python library for performing fast random insertion on TSP and SHPP instances

Recent research papers about Foundation Models for Combinatorial Optimization

A curated list of resources about generative flow networks (GFlowNets).

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