Stars
Neural Destruction Search for Vehicle Routing Problems
C++ implementation of a fast and memory efficient HAT-trie
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
A simple Python interface for VRPSolver, a state-of-the-art Branch-Cut-and-Price exact solver for vehicle routing problems
🦜🔗 The platform for reliable agents.
A playbook for systematically maximizing the performance of deep learning models.
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
The Traveling Salesman Problem with Time Windows (TSPTW)
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Stochastic Automatic Differentiation library for PyTorch.
An implementation of Performer, a linear attention-based transformer, in Pytorch
📱 Vue component for isotope filter & sort magical layouts
Implementation of Stochastic Beam Search using Fairseq
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
A TensorFlow inference library for react native
Prize-Collecting Traveling Salesman Problem with Time Windows
Routing optimization module module for Itinero.
Adaptive Large Neighbourhood Search for the Orienteering Problem
Our own implementation of Neural Message Passing for Computer Vision paper
PyTorch and Tensorflow functional model definitions
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…