MehdiZouitine's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
SakanaAI/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Doubiiu/ToonCrafter
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
hemansnation/god-level-ai
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Kent0n-Li/ChatDoctor
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
thieu1995/mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
SALib/SALib
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
pytorch-labs/LeanRL
LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.
esa/pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
PKU-Alignment/safety-gymnasium
NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
vidalt/HGS-CVRP
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
raphaelsty/neural-cherche
Neural Search
yeshenpy/Awesome-Evolutionary-Reinforcement-Learning
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
lightonai/pylate
Late Interaction Models Training & Retrieval
Edward-Sun/DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
henry-yeh/DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Valdecy/pyCombinatorial
A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics : 2-opt; 2.5-opt; 3-opt; 4-opt; 5-opt; 2-opt Stochastic; 2.5-opt Stochastic; 3-opt Stochastic; 4-opt Stochastic; 5-opt Stochastic; Ant Colony Optimization; Bellman-Held-Karp Exact Algorithm; Branch & Bound; BRKGA (Biased Random Key Genetic Algorithm); Brute Force; Cheapest Insertion; Christofides Algorithm; Clarke & Wright (Savings Heuristic); Concave Hull Algorithm; Convex Hull Algorithm; Elastic Net; Extremal Optimization; Farthest Insertion; Genetic Algorithm; GRASP (Greedy Randomized Adaptive Search Procedure); Greedy Karp-Steele Patching; Guided Search; Hopfield Network; Iterated Search; Karp-Steele Patching; Multifragment Heuristic; Nearest Insertion; Nearest Neighbour; Random Insertion; Random Tour; Scatter Search; Simulated Annealing; SOM (Self Organizing Maps); Space Filling Curve (Hilbert); Space Filling Curve (Morton); Space Filling Curve (Sierpinski); Stochastic Hill Climbing; Sweep; Tabu Search; Truncated Branch & Bound; Twice-Around the Tree Algorithm (Double Tree Algorithm); Variable Neighborhood Search.
kerschke/flacco
Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
raphaelsty/LeNLP
NLP with Rust for Python 🦀🐍
GMC-DRL/MetaBox
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html)
ai4co/routefinder
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
deel-ai/oodeel
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
AVSLab/bsk_rl
RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.
airbus/discrete-optimization
Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
GMC-DRL/psc4MetaBBO
SuReLI/RRLS
Robust Reinforcement Learning Suite