107 Open Source Classifier Software Projects
Free and open source classifier code projects including engines, APIs, generators, and tools.
Nlp.js 3956 ⭐
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Awesome Decision Tree Papers 1466 ⭐
A collection of research papers on decision, classification and regression trees with implementations.
Edgeml 911 ⭐
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Awesome Gradient Boosting Papers 613 ⭐
A curated list of gradient boosting research papers with implementations.
Hate Speech And Offensive Language 482 ⭐
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Whatlang Rs 348 ⭐
Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/
Gorganizer 317 ⭐
Organize your folders into a beautiful classified folder structure with this perfect tool
Actionai 317 ⭐
custom human activity recognition modules by pose estimation and cascaded inference using sklearn API
Java Naive Bayes Classifier 286 ⭐
A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.
Dfl Cnn 226 ⭐
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Pytorch Multi Label Classifier 214 ⭐
A pytorch implemented classifier for Multiple-Label classification
Programming Language Classifier 173 ⭐
An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text
Errant 176 ⭐
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
Speech_signal_processing_and_classification 142 ⭐
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 discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) . The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset)  will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
Support Tickets Classification 104 ⭐
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Tensorflow Object Detection Tutorial 103 ⭐
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
Lc 90 ⭐
licensechecker (lc) a command line application which scans directories and identifies what software license things are under producing reports as either SPDX, CSV, JSON, XLSX or CLI Tabular output. Dual-licensed under MIT or the UNLICENSE.
Stanford Nlp Tagger 69 ⭐
PHP wrapper for the Stanford Natural Language Processing library. Supports POSTagger and CRFClassifier.
Nlc Icd10 Classifier 63 ⭐
A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using the Flask framework and leverages the Watson Developer Cloud Python SDK
Nikolasent Vehicle Detection And Tracking 60 ⭐
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking
Createml Playgrounds 60 ⭐
Create ML playgrounds for building machine learning models. For developers and data scientists.
Emotion_and_polarity_so 61 ⭐
An emotion classifier of text containing technical content from the SE domain
Soundkeylogger 56 ⭐
An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes.
Train Classifier From Scratch 55 ⭐
Machine Learning: Collect data online and train a classifier from scratch
Cl Online Learning 47 ⭐
A collection of machine learning algorithms for online linear classification written in Common Lisp
Rgbd_person_tracking 38 ⭐
R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
Water Classifier Fastai 32 ⭐
Deploy your Flask web app classifier on Heroku which is written using fastai library.
Ml Classify Text JS 32 ⭐
Website Fingerprinting 26 ⭐
Deanonymizing Tor or VPN users with website fingerprinting and machine learning.
Speakervoiceidentifier 27 ⭐
SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.
Bag Of Visual Words 25 ⭐
:school_satchel: Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
Wink Naive Bayes Text Classifier 23 ⭐
Configurable Naive Bayes Classifier for text with cross-validation support
Tensorflow Image Classifier 23 ⭐
Easily train an image classifier and then use it to label/tag other images
Audio Classification Using Cnn Mlp 23 ⭐
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Varunon9 Naive Bayes Classifier 14 ⭐
Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.
Ml4k Ai Extension 15 ⭐
Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
Mosquito_classifier 14 ⭐
TensorFlow Image Classifier Files that can be used to distinguish among various Mosquito types with accuracy
Countering_hate_speech_icwsm2019 13 ⭐
Repository for the paper "Thou shalt not hate: Countering Online Hate Speech" accepted at ICWSM 2019.
Parkinsons Vocal Analysis Model 12 ⭐
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
Computer Vision Project 13 ⭐
The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.
Coreygirard Classy 12 ⭐
Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies
Nepali News Classifier 12 ⭐
Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.
Text2class 12 ⭐
Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Machine Learning Doodle Recognition 11 ⭐
A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.