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anchor

:anchor: Find bimodal, unimodal, and multimodal features in your data

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesianrnn

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

clr

forward-ensembling

A wrapper for forward ensembling technique

geol

Pre-Processing and Analysis of Geographic Data for Machine Learning Tasks

hdbscan

A high performance implementation of HDBSCAN clustering.

hungabunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

inne-model

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

keras_gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

kernelml

learning-rate

Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras

mlflow

Open source platform for the machine learning lifecycle

mlmodels

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

mltools

Exploratory and diagnostic machine learning tools for R

modellogger.github.io

Model-Logger is a Python library for storing model's profile and rapid inter model comparison.

polylearn

A library for factorization machines and polynomial networks for classification and regression in Python.

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pygpgo

Bayesian optimization for Python

rbayesianoptimization

Bayesian Optimization of Hyperparameters

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sk-dist

Distributed scikit-learn meta-estimators in PySpark

stability-selection

scikit-learn compatible implementation of stability selection.