ray-project / ray

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

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

Updated May 2, 2020
Python

Alex-Lekov / AutoML_Alex

Star

State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

Updated Oct 16, 2020
Python

heidelbergcement / hcrystalball

Star

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

wrapper data-science time-series sklearn parallel cross-validation transformer model-selection statsmodels wrapper-library sklearn-compatible fbprophet sarimax time-series-forecasting sklearn-library sklearn-api pmdarima tbats

Updated Sep 15, 2020
Python

christophmark / bayesloop

Star

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

model-selection probabilistic-programming bayesian-inference time-series-analysis anomaly-detection

Updated Mar 23, 2020
Python

maxim5 / hyper-engine

Star

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

metriculous-ml / metriculous

Star

Measure and visualize machine learning model performance without the usual boilerplate.

python data-science machine-learning statistics deep-learning regression model-selection classification visual-analysis confusion-matrix roc-curve model-evaluation precision-recall-curve model-comparsion residual-plot

Updated Aug 29, 2020
Python

alessandrolulli / reforest

Star

Random Forests in Apache Spark

spark random-forest distributed model-selection ensembles spark-mllib random-rotation

Updated Jun 13, 2019
Scala

tlverse / sl3

Star

💪

🤔 Modern Super Learning using Pipelines

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

Updated Oct 15, 2020
R

smartcorelib / smartcore

Star

SmartCore is a comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

rust machine-learning clustering machine-learning-algorithms statistical-learning regression rust-lang scientific-computing model-selection classification statistical-models

Updated Oct 26, 2020
Rust

yzhao062 / MetaOD

Star

Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

python model-selection outlier-detection automated-machine-learning anomaly-detection

Updated Sep 28, 2020
Python

alteryx / evalml

Star

Open

Add GLM regressor and classifier

dsherry commented Oct 15, 2020

This could be a good place to start.

Add GBM regressor and classifier

Open

Add GAM regressor and classifier

Find more good first issues →

junipertcy / bipartiteSBM

Star

Heuristic and inference engine for estimating the number of communities in a bipartite network

clustering model-selection heuristic stochastic-block-model bipartite-network inference-engine

Updated Sep 25, 2020
Python

merliseclyde / BAS

Star

BAS R package

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

Updated Sep 9, 2020
C

JohannesBuchner / UltraNest

Star

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

python monte-carlo parallel-computing model-selection nested-sampling

Updated Jul 22, 2020
Python

eaglewarrior / Machine-learning

Star

Open

Implement different ML algorithms with open source data files

8

eaglewarrior commented Sep 28, 2020

Star it
Fork the repo
Clone it onto your PC.
Create a folder with your GitHub username
Create separate files for all the issues you are solving and always open an issue which has all details of the process or method you will use to perform anomaly detection and wait till it is assigned (not more than 2-3 hours it will take, we are passionate open source developers )
Open PRs

redwanhuq / campaign-critic

Star

A web app that helps Kickstarter creators increase their chances of being funded

machine-learning natural-language-processing exploratory-data-analysis postgresql cross-validation datascience model-selection classification logistic-regression regularization webscraping

Updated Oct 3, 2017
Jupyter Notebook

JohannesBuchner / BXA

Star

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

python model-selection spectroscopy sherpa nested-sampling xspec x-ray-astronomy

Updated Oct 22, 2020
Python

fjxmlzn / InfoGAN-CR

Star

InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs, ICML 2020

metrics sap generative-adversarial-network gan model-selection representation gans celeba dci mig disentanglement dsprites disentangled-representations disentangled infogan-cr contrastive-regularizers model-centrality 3d-teapot factorvae-metric betavae-metric

Updated Oct 25, 2020
Python

medoidai / skrobot

Star

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

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

Updated Oct 23, 2020
Python

mdabros / SharpLearning.Examples

Star

Code examples for SharpLearning

machine-learning examples optimization cross-validation regression model-selection classification example-project sharplearning

Updated Nov 22, 2019
C#

model-selection

Here are 168 public repositories matching this topic...

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Cibiv / IQ-TREE

IngoScholtes / pathpy

Alex-Lekov / AutoML_Alex

heidelbergcement / hcrystalball

christophmark / bayesloop

maxim5 / hyper-engine

metriculous-ml / metriculous

alessandrolulli / reforest

tlverse / sl3

smartcorelib / smartcore

yzhao062 / MetaOD

alteryx / evalml

Add GLM regressor and classifier

Add GBM regressor and classifier

Add GAM regressor and classifier

junipertcy / bipartiteSBM

merliseclyde / BAS

JohannesBuchner / UltraNest

eaglewarrior / Machine-learning

Implement different ML algorithms with open source data files

redwanhuq / campaign-critic

JohannesBuchner / BXA

fjxmlzn / InfoGAN-CR

medoidai / skrobot

mdabros / SharpLearning.Examples

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