Abdelhakim Cheriet's repositories
CEC2018_DMOP
CEC2018 DF Dynamic Multiobjective optimization benchmarks
WebLaTex
A complete alternative for Overleaf with VSCode + Web + Git Integration + Grammarly + Live Collaboration Support
pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
RuanSSCI2019
Codes used in the paper "When and How to Transfer Knowledge in Dynamic Multi-Objective Optimization" published at SSCI 2019.
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
fiber
Distributed Computing for AI Made Simple
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
DMOES
Multi-Objective Evolution Strategy for Dynamic Multi-objective Optimization
Hands-On-Genetic-Algorithms-with-Python
Hands-On Genetic Algorithms with Python, Published by Packt
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
umap
Uniform Manifold Approximation and Projection
graph-convnet-tsp
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)
PySyft
A library for encrypted, privacy preserving machine learning
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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)
reversible-inductive-construction
Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
BinPacking_Neural_Combinatorial_Optimization
Bin Packing Problem using Neural Combinatorial Optimization.
GRAN
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
POT
Python Optimal Transport library
TikZ
Complete collection of my PGF/TikZ figures.
Dynamic-Multi-Guided-PSO
Research Project for Bsc HONS in Computer Science
nevergrad
A Python toolbox for performing gradient-free optimization
attention-learn-to-route
Attention based model for learning to solve different routing problems