OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your memory and productivity without compromising your privacy.

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

A general purpose recommender metrics library for fair evaluation.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Multi-class metrics for Tensorflow

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Python implementation of ROUGE

Object Detection in images using Selective Search and EdgeBoxes algorithm

Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje d…

Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.

This is a web based elective course recommender system implemented with flask and Sklearn

强化学习算法ddpg解决推荐系统中的召回问题

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action

Precision-recall-gain for Python

Evaluation and agreement scripts for the DISCOSUMO project. Each evaluation script takes both manual annotations as automatic summarization output. The formatting of these files is highly project-specific. However, the evaluation functions for precision, recall, ROUGE, Jaccard, Cohen's kappa and Fleiss' kappa may be applicable to other domains too.

Accurately predicting companies' future failure with Python.

Machine Learning Model to predict student graduation grade

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