ahcheriet
Computer Science Ph.D. Associate professor at The National School of Artificial Intelligence, Algiers , Algeria.
The National School of Artificial Intelligence Algiers, Algeria
Pinned Repositories
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's Repositories
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