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Top 11 model-selection open source projects

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

✭ 8,378

python Jupyter Notebook shell machine-learning data-science automation scikit-learn automl xgboost hyperparameter-optimization random-forest feature-engineering automated-machine-learning gradient-boosting model-selection parameter-tuning

Yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

✭ 3,439

python machine-learning visualization scikit-learn matplotlib visualizer anaconda model-selection estimator visual-analysis

Ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

hyper-engine

Python library for Bayesian hyper-parameters optimization

✭ 80

python data-science machine-learning big-data deep-learning neural-network tensorflow model-selection hyperparameter-optimization convolutional-neural-networks gaussian-processes bayesian-optimization random-search optimization-algorithms

cerebro-system

Data System for Optimized Deep Learning Model Selection

✭ 15

python deep-learning model-selection hyperparameter-tuning resource-efficient

sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

✭ 93

javascript r HTML CSS data-science machine-learning statistics regression model-selection ensemble-learning r-package ensemble-model stacking

pathpy

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

✭ 124

python data machine-learning data-mining graph analysis model-selection networks temporal-networks graphical-models pathways network-analysis sequential-data multi-order temporal-correlations

BAS

BAS R package https://merliseclyde.github.io/BAS/

✭ 36

c r cran regression variable-selection model-selection bayesian r-package predictive-modeling mcmc

Machine-learning

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

✭ 27

Jupyter Notebook machine-learning algorithm deep-learning clustering linear-regression datascience model-selection neural-networks polynomial-regression hacktoberfest hacktober nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hactoberfest-accepted

sklearndf

DataFrame support for scikit-learn.

✭ 54

python Jupyter Notebook data-science machine-learning pandas-dataframe cross-validation model-selection hyper-parameter-tuning feature-traceability

skrobot

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

✭ 22

python data-science machine-learning scikit-learn feature-selection artificial-intelligence model-selection modelling feature-engineering hyperparameter-tuning model-evaluation model-training model-tuning predictive-modelling

1-11 of 11 model-selection projects