(Deprecated) Scikit-learn integration package for Apache Spark
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Updated
Dec 3, 2019 - Python
(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.
Alchemy Cat —— 🔥Config System for SOTA
Framework of intelligent optimization methods iOpt
An abstraction layer for parameter tuning
Globally Safe Model-free Exploration of Dynamical Systems
A Python Toolkit for Managing a Large Number of Experiments
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!
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.
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.
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
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
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