arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Re…

A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classificati…

Python implementation of CMA-ES

Useful relevant papers and open source codes for Data-Driven Evolutionary Algorithms (DDEAs)

Experimentation procedure for Iterative Optimization Heuristics

Performance analyzer for Iterative Optimization Heuristics.

Dynamic Cooperative Coevolution for Large Scale Optimization

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datas…

GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

Official implementation of NeurIPS'24 paper "Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer".

LLM4AD: A Platform for Algorithm Design with Large Language Model

Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Accompanied repositories for our paper Graph foundation model

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Diffusion model derived evolutionary algorithm

Methods and Implements of Deep Clustering

Single- as well as Multi-Objective Optimization Test Problems: ZDT, DTLZ, CDTLZ, CTP, BNH, OSY, ...

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

Numerical Black-Box Optimization Benchmarking Framework

A Collection on Large Language Models for Optimization

Python library for CMA Evolution Strategy.

PyTorch implementation of DEC (Deep Embedding Clustering)