#计算机科学#Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
#计算机科学#Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
#计算机科学#Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
#计算机科学#Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
翻译 - 在数值离散搜索空间中的本地,全局,基于人口和顺序技术的简单可靠优化。
Python library for CMA Evolution Strategy.
#计算机科学#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
#计算机科学#A fast Evolution Strategy implementation in Python
A hyperparameter optimization framework, inspired by Optuna.
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...
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
#计算机科学#Flappy Bird AI using Evolution Strategies
#计算机科学#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.
#算法刷题#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
#区块链#things I help(ed) to build