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

A fast Evolution Strategy implementation in Python

A hyperparameter optimization framework, inspired by Optuna.

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

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

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/random search/...). https://jmlr.org/papers/v25/23-0386.html

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

Flappy Bird AI using Evolution Strategies

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

Personal experiments on Reinforcement Learning

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