wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
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wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
Natural language detection
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Classify music genre from a 10 second sound stream using a Neural Network.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
A simple, cross-platform utility to classify packets into flows using only the essential 4-tuple.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
Converts GTFS blocks into a series of trip-to-trip transfers using heuristics to classify transfer type.