Classification Model Python Packages

image-classifiers

Classification models trained on ImageNet. Keras.

9K 1K 307

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.

1K 177 61

pytrendseries

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

943 167 25

bess

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

860 17 2

msdlib

This is a custom library for data processing, visualization and machine learning tools.

797 14 2

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.

400 4 3

valx

ValX is an open-source Python package for text cleaning tasks, including profanity detection and removal. Now also includes sensitive information detection, and removal.

331 5 1

cub-tools

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

234 48 10

tindetheus

Build personalized machine learning models for Tinder using Python

188 90 22

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..

98 0 0