112 Open source projects that are alternatives of or similar to qbso-fs

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).

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Derivative-Free Optimization Method for Global Optimization (C++)

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Reinforcement Learning in Vrep

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

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A package to integrate rollout into your Laravel project.

Statistical Inference and Sure Independence Screening via Ball Statistics

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

arxiv.org/abs/1803.07482

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Train a tic-tac-toe agent using reinforcement learning.

All Relevant Feature Selection

Efficient Algorithms for L0 Regularized Learning

High frequency AI based algorithmic trading module.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Artificial Bee Colony Algorithm in Python.

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🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

Reinforcement Learning Demos

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can …

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Research project

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

An R package for multi/many-objective optimization with non-dominated genetic algorithms' family

A framework for multi-agent reinforcement learning.

Demo project using tabular Q-learning algorithm

Exemplary, annotated machine learning pipeline for any tabular data problem.

A metaheuristic optimization framework

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Search the best feature subset for you classification mode

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

An implementation of various metaheuristics adapted to train neural networks

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

GraphOfDocs: Representing multiple documents as a single graph

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

PyTorch implementation of the implicit Q-learning algorithm (IQL)

Evolutionary algorithms library for the web 🧬

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

Python utilities for Machine Learning competitions

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

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

An RL implementation in Keras

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Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

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.

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data