Automated modeling and machine learning framework FEDOT
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Updated
May 31, 2024 - Python
Automated modeling and machine learning framework FEDOT
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Globally Safe Model-free Exploration of Dynamical Systems
Workflow engine for exploration of simulation models using high throughput computing
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
The iraceplot package allows to plot configuration data obtained by configuration process performed by the irace configurator.
Framework of intelligent optimization methods iOpt
⚡ Fast Concurrent / Parallel Sorting in Go
Purely functional genetic algorithms for multi-objective optimisation
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Personality Recognition from text using nlp techniques
A Python Toolkit for Managing a Large Number of Experiments
i tune your parameters so you don't have to
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
Tutorials on how to use language models
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
Genetic Algorithms in Java. Easy to use and extensible by design
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