Classification Model Python Packages

image-classifiers

Classification models trained on ImageNet. Keras.

dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

msdlib

msdlib is meant for making life easier of a common data scientist/data analyst/ML enginner.

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

darkneurons

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

valx

An open-source Python library for data cleaning tasks. Includes profanity detection, and removal. Now includes offensive language and hate speech detection using an AI model.

pytrendseries

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

tindetheus

Build personalized machine learning models for Tinder using Python

cub-tools

Caltech UCSD Birds Database Tools for PyTorch Image Classification

geotorchai

GeoTorchAI, formarly GeoTorch, A Spatiotemporal Deep Learning Framework

miniclassifier

Deep Learning Library for Text Classification.

stackboost

Open source gradient boosting library

streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

mdsimseval

Collective analysis on a set of Molecular Dynamics simulations.

embml

A tool to support using classification models in low-power and microcontroller-based embedded systems.