ahcheriet

academic-kickstart

Easily create a beautiful website using Academic and Hugo

ahcheriet.github.io

Academic personal website

ASE_Project

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-deeplearning-papers

Deep Learning and deep reinforcement learning research papers and books.

awesome-network-embedding

A curated list of network embedding techniques.

CEC2018_DMOP

CEC2018 DF Dynamic Multiobjective optimization benchmarks

DPTP

DMOP Parameter Testing Platform

RM-MEDA_py

Python version of RM-MEDA algorithm

RuanSSCI2019

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

ahcheriet/CEC2018_DMOP

CEC2018 DF Dynamic Multiobjective optimization benchmarks

ahcheriet/RuanSSCI2019

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

ahcheriet/DPTP

DMOP Parameter Testing Platform

ahcheriet/attention-learn-to-route

Attention based model for learning to solve different routing problems

ahcheriet/BinPacking_Neural_Combinatorial_Optimization

Bin Packing Problem using Neural Combinatorial Optimization.

ahcheriet/Coimbra-TS

ahcheriet/dgl

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

ahcheriet/DMOES

Multi-Objective Evolution Strategy for Dynamic Multi-objective Optimization

ahcheriet/Dynamic-Multi-Guided-PSO

Research Project for Bsc HONS in Computer Science

ahcheriet/fiber

Distributed Computing for AI Made Simple

ahcheriet/GRAN

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

ahcheriet/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

ahcheriet/graph-convnet-tsp

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

ahcheriet/habitat-lab

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

ahcheriet/Hands-On-Genetic-Algorithms-with-Python

Hands-On Genetic Algorithms with Python, Published by Packt

ahcheriet/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

ahcheriet/learning-paradigms-for-tsp

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

ahcheriet/ML-YouTube-Courses

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

ahcheriet/nevergrad

A Python toolbox for performing gradient-free optimization

ahcheriet/POT

Python Optimal Transport library

ahcheriet/pymoo

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

ahcheriet/pymoo-dmop

ahcheriet/PySyft

A library for encrypted, privacy preserving machine learning

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

Solutions of Reinforcement Learning, An Introduction

ahcheriet/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

ahcheriet/reversible-inductive-construction

Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)

ahcheriet/TikZ

Complete collection of my PGF/TikZ figures.

ahcheriet/top-k-mallows

ahcheriet/umap

Uniform Manifold Approximation and Projection

ahcheriet/WebLaTex

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