An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
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Updated
Mar 21, 2024 - JavaScript
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of data mining papers about fraud detection.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
A curated list of gradient boosting research papers with implementations.
Natural language detection library for Rust. Try demo online: https://whatlang.org/
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
A Naive Bayes machine learning implementation in Elixir.
Machine Learning inference engine for Microcontrollers and Embedded devices
Organize your folders into a beautiful classified folder structure with this perfect tool
A pytorch implemented classifier for Multiple-Label classification
A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.
A .NET image and video classifier used to identify explicit/pornographic content written in C#.
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…
Audio feature extraction and classification
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