133 Open source projects that are alternatives of or similar to PyConSys

第九届飞思卡尔智能车参赛作品

A bare-bones Python library for quality diversity optimization.

microblx: real-time, embedded, reflective function blocks.

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Quadcopter Simulation and Control. Dynamics generated with PyDy.

Distributed implementation of popular evolutionary methods

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

Evolutionary algorithm toolbox and framework with high performance for Python

The Life Engine

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Evolutionary multi-objective optimization platform

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Modular Java framework for meta-heuristic optimization

Automated modeling and machine learning framework FEDOT

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

Search the best feature subset for you classification mode

A software pipeline using the Model Predictive Control method to drive a car around a virtual track.

用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI

Simple Genetic Programming for Symbolic Regression in Python3

Genetic Algorithm and Particle Swarm Optimization

Generate high-quality triangulated and polygonal art from images.

Train PyTorch Models using the Genetic Algorithm with PyGAD

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

A framework for Big Data Optimization with multi-objective metaheuristics

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

This project covers somewhat advances features for an espresso machine controller.

Reinforcement learning with A* and a deep heuristic

pyMOR - Model Order Reduction with Python

textbook about control, robotics, system

This is a dynamic simulation for quadrotor UAV

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Supported highly optimized and flexible genetic algorithm package for python

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

A fast Evolution Strategy implementation in Python

An open-source systems and controls toolbox for Python3

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

Arrays with arbitrarily nested named components.

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Metapackage to control the edrone via services and topics -https://www.youtube.com/watch?v=M-RYyMyRl9g

Vita - Genetic Programming Framework

Provides situational awareness of Industrial Control Systems (ICS) and Supervisory Control and Data Acquisition (SCADA) networks in support of network security assessments. #nsacyber

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Julia package for particle physics

Robust and optimal design and analysis of linear control systems

A tool for automatically generating system-level test cases. Currently targeting REST APIs.

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control

Blue Brain Python Optimisation Library

Package to deal with particles, the PDG particle data table, PDGIDs, etc.

Small pieces of code for use in CRAWLAB research

A rust library for getting information about running processes for Mac and Linux

Reachability analysis for closed-loop control systems

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.