(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
A unified interface for optimization algorithms and experiments
Alchemy Cat —— 🔥Config System for SOTA
Framework of intelligent optimization methods iOpt
Real time Nav2 parameter tuning GUI for ROS2, no kill or relaunch needed
An abstraction layer for parameter tuning
Globally Safe Model-free Exploration of Dynamical Systems
A Python Toolkit for Managing a Large Number of Experiments
A CLI-based tuner that runs multi-objective optimization on your ESPminer.
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
Trying PostgreSQL parameter tuning using machine learning.
Codes and templates for ML algorithms created, modified and optimized in Python and R.
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…
Interactive image viewer and processing application for computer vision research and real-time parameter tuning with OpenCV
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
a library to tune xgboost models
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