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

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Python library for CMA Evolution Strategy.

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

A next-generation LLM for Algorithm Design platform focused on intuitive UI interactions and seamless collaboration with AI agents, making automated algorithm design more accessible and easier to use

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

Evolutionary & genetic algorithms for Julia

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants. In the near future, we will add Learning-Based Optimizers as its extensions. [https://jmlr.org/papers/v25/23-0386.html]

A hyperparameter optimization framework, inspired by Optuna.

A fast Evolution Strategy implementation in Python

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