FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

This is an implementation of a custom chatbot using LangChain, OpenAI and Chainlit. This chatbot is also integrated with an external API hosted in Flask

Large list of handpicked color names 🌈

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Python wrapper for TA-Lib (http://ta-lib.org/).

A clean framework and implementations for reinforcement learning algorithms.

An offline deep reinforcement learning library

Simple Cartpole example writed with pytorch.

PyTorch implementations of deep reinforcement learning algorithms and environments

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

SAASBO: a package for high-dimensional bayesian optimization

Evolutionary multi-objective optimization platform

Multiobjective black-box optimization using gradient-boosted trees

The release codes of LA-MCTS with its application to Neural Architecture Search.

Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.

Evolutionary algorithm toolbox and framework with high performance for Python

Multi-objective Bayesian optimization

pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems

Long-Term Evolution Project of Reinforcement Learning

Fluid based shape optimization with Blender and OpenFOAM

This is a mirror of https://i10git.cs.fau.de/pycodegen/lbmpy. Use the gitlab page to create issues and merge requests.

Numerical simulations using flexible Lattice Boltzmann solvers

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Dash app for visualizing Formula 1 data.

Python Implementation of Reinforcement Learning: An Introduction

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

A minimalistic CV template with BibLaTeX support