MehdiZouitine
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Introduction to deep learning using manim animations
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
Efficient modeling interface for mathematical optimization in Python
Official implementation of Time-Constrained Robust MDP, NeurIPS 2024
Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
A community-maintained Python framework for creating mathematical animations.
Recent research papers about Foundation Models for Combinatorial Optimization
[MICCAI 2024] DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.
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*.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
This library provides a comprehensive suite of algorithms to solve the Travelling Salesman Problem (TSP), ranging from Exact Algorithms, Heuristics, Metaheuristics and Reinforcement Learning techni…
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datas…
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
RL environments and tools for spacecraft autonomy research, built on Basilisk. Developed by the AVS Lab.