Stars
A fast and differentiable QP solver for PyTorch.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Fix for Google Translate to process LaTeX documents.
Hybrid Models for Learning to Branch (NeurIPS 2020)
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
Extensible Combinatorial Optimization Learning Environments
My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"
Official reinforcement learning environment for demand response and load shaping
2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
Must-read papers on graph neural networks (GNN)
Graph Neural Network Library for PyTorch
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbin…
jingw2 / pyconcorde
Forked from jvkersch/pyconcordePython wrapper around the Concorde TSP solver
Mathpix has changed their billing policy and no longer has free monthly API requests. This repo is now archived and will not receive any updates for the foreseeable future.
Free trading strategies for Freqtrade bot
TensorForce Bitcoin Trading Bot
Attention based model for learning to solve different routing problems
mixed integer programing ;branch-and-bound;cplex;maching learning
Hemanth Narra's ns3 simple-wireless-tdma module
An implementation of Self-Organizing TDMA (STDMA) for VANETs in NS-3