#

model-selection

Here are 115 public repositories matching this topic...

MarieLynneBlock / MachineLearning

Course work & tutorials for "Machine Learning A-Z™"

python machine-learning natural-language-processing r reinforcement-learning deep-learning clustering machine-learning-algorithms regression model-selection classification dimensionality-reduction preprocessing association-rules nlp-machine-learning

Updated May 22, 2017
Python

ntrang086 / sign_language_recognizer

an artificial intelligence project to recognize american sign language

feature-extraction model-selection hidden-markov-model language-model statistical-models probabilistic-models hmmlearn sign-language-recognizer

Updated Oct 9, 2017
Python

Lehyu / pyml

machine learning and data analysis wrote in python

python machine-learning optimizer model-selection preprocessing pyml

Updated Nov 13, 2017
Python

SankethNagarajan / tracta_ml

Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms

feature-selection model-selection hyper-parameter-optimization hyper-parameter-tuning

Updated Feb 13, 2018
Python

christophmark / bayesianfridge

Sequential Monte Carlo sampler for PyMC2 models.

monte-carlo inference model-selection sequential-monte-carlo inference-engine

Updated Apr 4, 2018
Python

andreehrlich / Machine-Learning-Sentiment-Analysis-Methods

Text Classification / Sentiment Analysis with Machine Learning

machine-learning sentiment-analysis text-classification model-selection supervised-learning

Updated Jun 10, 2018
Python

inoueakimitsu / wbic_bml

Statistical Causal Inference Library using Bayesian Mixed LiNGAM and WBIC

python data-science statistics model-selection pymc3 causal-inference

Updated Jun 14, 2018
Python

AriChow / error_propagation

This project is for understanding and quantifying the errors in a machine learning or data analytic pipeline. Two approaches are explored. The first is using freezing and unfreezing of pipeline components (using optimization techniques like grid-search, random-search, Bayesian Optimization, Genetic Algorithms etc.). The second is using a gradien…

machine-learning model-selection data-analytics bayesian-optimization error-quantification pipeline-optimization

Updated Jul 2, 2018
Python

MauroCE / PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Updated Aug 18, 2018
Python

maxim5 / hyper-engine

Python library for Bayesian hyper-parameters optimization

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

Updated Aug 28, 2018
Python

sg-dev / pathpy

pathpy is an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.

data-science machine-learning data-mining graph-algorithms network-science model-selection data-visualisation knowledge-discovery temporal-networks network-analysis time-series-analysis path-analysis

Updated Sep 7, 2018
Python

almandsky / easyautoml

Automl with Featuretools generate features and use tpot to select model

model-selection feature-engineering automl tpot featuretools meachin-learning

Updated Sep 27, 2018
Python

JasonZhu1313 / KagglePipeline

This repository provides commonly used modules from feature engineering to model training for machine learning tasks and kaggle competition.

machine-learning feature-selection kaggle-competition model-selection xgboost lightgbm recommender-system feature-engineering bayesian-optimization pipeline-as-code catboost kaggle-elo

Updated Jan 2, 2019
Python

rahul765 / machine-learning-techniques

nlp natural-language-processing python3 model-selection dimensionality-reduction reinforcement-learning-algorithms preprocessing regression-models clustering-algorithm rule-based classification-model

Updated Feb 24, 2019
Python

SanthiyaDaniel / Machine-Learning-All

model-selection regression-models clustering-algorithm classification-algorithm xgboost-algorithm association-rule-learning

Updated Feb 25, 2019
Python

lschlessinger1 / boms-python

Bayesian optimization for automated model selection (BOMS) implementation in Python (Malkomes et al., 2016)

machine-learning model-selection bayesian-optimization meta-learning

Updated Apr 22, 2019
Python

vlall / psychopy-active-learner

A library for running Bayesian active model selection on human behavioral experiments

automation model-selection bayesian active-learning psychopy numerosity

Updated Apr 29, 2019
Python

Marcnuth / genetics

Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning

machine-learning genetic-algorithm model-selection sampling feature-engineering

Updated Aug 19, 2019
Python

Senmumu / ray_project_doc

ray project 中文文档

python java data-science machine-learning reinforcement-learning deep-learning optimization parallel distributed model-selection hyperparameter-optimization ray automl hyperparameter-search rllib

Updated Sep 6, 2019
Python

nehapai23 / Experiments-with-Bayesian-Linear-Regression

cross-validation python3 model-selection regularization bayesian-linear-regression bayesian-model-selection

Updated Nov 5, 2019
Python

Improve this page

Add a description, image, and links to the model-selection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the model-selection topic, visit your repo's landing page and select "manage topics."