548 Open source projects that are alternatives of or similar to ASD-ML-API

FMI-compliant Model Estimation in Python

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

For extensive instructor led learning

Evolving Artificial Neural Networks for Cross-Adaptive Audio Effects

Automatic paper clustering and search tool by fastext from Facebook Research

A class scheduler using adaptive-elitist genetic algorithm.

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

A NSGA-II implementation in Julia

A collection of notebooks of my Machine Learning class written in python 3

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

An Interactive Approach to Understanding Deep Learning with Keras

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A genetic algorithm implementation in python

brief introduction to Python for machine learning

A web application that generates timetables for university students at the University of Toronto

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

100 Days of ML Coding

This repository contains path planning algorithms in C++ for a grid based search.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

A genetic algorithm to solve the Travelling Salesman Problem, implemented in Python. Made by Jack Frigaard, modified by Mauricio Aizaga

Association Rule Mining from Spatial Data for Crime Analysis

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

model-describer : Making machine learning interpretable to humans

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

AsyncIO serving for data science models

🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

Probably the best curated list of data science software in Python.

使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo

scikit-learn机器学习库中文文档翻译项目

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

Samples and Tools for Windows ML.

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

An open source python library for automated feature engineering

利用Logistic回归实现信用卡欺诈检测

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

My blogs and code for machine learning. http://cnblogs.com/pinard

Self driving cars using NEAT

A graph-based functional API for building complex scikit-learn pipelines.

Vehicle Routing Problem with Time Windows - Genetic Algorithm solution with Python

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Evolutionary Art Using Circles in Python

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Supported highly optimized and flexible genetic algorithm package for python

🤓🔮🔬 Emoji prediction from a text using machine learning

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

⏱ Benchmarks of machine learning inference for Go

An interesting display of evolution through neural networks and a genetic algorithm

Software to look for interrelationships between constants and find formulas for number sequences