parameter-tuning topic

:zap: Fast Concurrent / Parallel Sorting in Go

jfcg

(Deprecated) Scikit-learn integration package for Apache Spark

databricks

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

EpistasisLab

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

SimonBlanke

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

cerlymarco

Automated modeling and machine learning framework FEDOT

aimclub

Workflow engine for exploration of simulation models using high throughput computing

openmole

Hyperparameter optimization in Julia.

baggepinnen

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Selec...

kennedyCzar

Purely functional genetic algorithms for multi-objective optimisation

openmole