ahcheriet

CEC2018_DMOP

CEC2018 DF Dynamic Multiobjective optimization benchmarks

RuanSSCI2019

Codes used in the paper "When and How to Transfer Knowledge in Dynamic Multi-Objective Optimization" published at SSCI 2019.

attention-learn-to-route

Attention based model for learning to solve different routing problems

BinPacking_Neural_Combinatorial_Optimization

Bin Packing Problem using Neural Combinatorial Optimization.

Coimbra-TS

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

DMOES

Multi-Objective Evolution Strategy for Dynamic Multi-objective Optimization

DPTP

DMOP Parameter Testing Platform

Dynamic-Multi-Guided-PSO

Research Project for Bsc HONS in Computer Science

fiber

Distributed Computing for AI Made Simple

GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Hands-On-Genetic-Algorithms-with-Python

Hands-On Genetic Algorithms with Python, Published by Packt

Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

learning-paradigms-for-tsp

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

ML-YouTube-Courses

A repository to index and organize the latest machine learning courses found on YouTube.

nevergrad

A Python toolbox for performing gradient-free optimization

POT

Python Optimal Transport library

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

pymoo-dmop

PySyft

A library for encrypted, privacy preserving machine learning

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reversible-inductive-construction

Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)

TikZ

Complete collection of my PGF/TikZ figures.

top-k-mallows

umap

Uniform Manifold Approximation and Projection

WebLaTex

A complete alternative for Overleaf with VSCode + Web + Git Integration + Grammarly + Live Collaboration Support