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.

Testing the consistency of binary classification performance scores reported in papers

This is an open surce alternative at microsof recall and at OpenRecall (sorry... but OpenRecall isn't working on my waylnad KDE Arhc linux)

Take screenshots every few mins and browse your "work sessions"

This project predicts diabetes using the PIMA Diabetes dataset, leveraging health metrics of Pima Indian women. Machine learning models like Logistic Regression, Decision Trees, and Random Forest are implemented to determine the likelihood of diabetes, evaluated using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.

Welcome to **LiveRecall**, the open-source alternative to Microsoft's Recall. LiveRecall captures snapshots of your screen and allows you to recall them using natural language queries, leveraging semantic search technology. For added security, all images are encrypted.

The proposed algorithm calculates the Initial Recall value of the Dataset. It eliminates least correlated features using the Correlation Matrix. Using Gaussian Curve, for all the columns it identifies and eliminates rows having values which lie beyond (µ ± 3σ).

Comparing the performance of MLP (multilayer perceptron) and CNN (convolutional neural network) on USPS dataset and visualizing it via TensorBoard.

This tool extracts and displays data from the Recall feature in Windows 11, providing an easy way to access information about your PC's activity snapshots.

Remove ALL Windows AI Features

Windows Recall but for Linux and better (It is very bad).

A Go SDK and commandline utility to abuse the latest Windows Copilot+ Recall feature.

Comparing logistic regression, decision tree, random forest, k-nearest neighbors, and SVMs in regard to binary prediction performance metrics.

An open source approach to locally record and enable searching everything you view on your Mac.

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies

Recall for KSP blunders, screw ups and borks.

Directing Sentiment and Evoking Recall in GPT-2 from an Attention Bock Based Persistent Memory using a Small Fraction of One Layer and a Case for the Spacial Separation of what might be described as Emotional Implicit Memory and Explicit Memory

Text-based sentiment analysis plays a very important role in understanding customer opinions and preferences. But despite extensive research in sentiment and emotion analysis in text, a notable gap exists in understanding code-mixed texts. To address this, we propose an end-to-end transformer based model.

Build repository for brambox - https://gitlab.com/eavise/brambox