evolution-strategies

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Python library for CMA Evolution Strategy.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Evolutionary & genetic algorithms for Julia

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

A fast Evolution Strategy implementation in Python

A hyperparameter optimization framework, inspired by Optuna.

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyPop77, and PyMePop7)

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

Flappy Bird AI using Evolution Strategies

Personal experiments on Reinforcement Learning

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxiv.org/abs/2008.02387) from NNAISENSE.

LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ

Evolution Strategy Library

things I help(ed) to build