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

(Deprecated) Scikit-learn integration package for Apache Spark

LAMA - automatic model creation framework

Automated modeling and machine learning framework FEDOT

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Framework of intelligent optimization methods iOpt

An abstraction layer for parameter tuning

A Python Toolkit for Managing a Large Number of Experiments

Globally Safe Model-free Exploration of Dynamical Systems

Trying PostgreSQL parameter tuning using machine learning.

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

Algorithm Configuration Visualizations for irace!

Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such t…

a library to tune xgboost models

a case study on deep learning where tuning simple SVM is much faster and better than CNN

Codes and templates for ML algorithms created, modified and optimized in Python and R.

The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.

This classifiers the gender of the person speaking in the singular audio file using Artificial Neural Networks

Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

Automatic sklearn parameter tuning with bio-inspired algorithms