Top 76 classifier open source projects

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

A pytorch implemented classifier for Multiple-Label classification

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

A License Classifier

ALBERT model Pretraining and Fine Tuning using TF2.0

An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text

yet another general purpose naive bayesian classifier.

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) [4]. 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) [5] 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].

Machine Learning inference engine for Microcontrollers and Embedded devices

Scene text detection and recognition based on Extremal Region(ER)

A collection of research papers on decision, classification and regression trees with implementations.

📊 Naive Bayes classifier for JavaScript

A Machine Learning classifier for recognizing the digits for humans.

Object classification with CIFAR-10 using transfer learning

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

A sophisticated smart symptom search engine

⛔️ ARCHIVED ⛔️ 🐒 R package for text analysis with Monkeylearn 🐒

Machine learning to classify Malicious (Spam)/Benign URL's

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.

Building classifiers using cancer transcriptomes across 33 different cancer-types

simple rules engine

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

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

A Python interface for Facebook fastText

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Machine learning for Project Cognoma

A curated list of data mining papers about fraud detection.

A curated list of gradient boosting research papers with implementations.

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

A Naive Bayes machine learning implementation in Elixir.

Organize your folders into a beautiful classified folder structure with this perfect tool

A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.

Nodejs binding for fasttext representation and classification.

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.

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

Search the best feature subset for you classification mode

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.

Classify short texts with neural network.

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Simple image classifier microservice using tensorflow and sanic

Programmatically find and read labels using Machine Learning

Implementing Naive Bayes Classification algorithm into PHP to classify given text as ham or spam. This application uses MySql as database.

Deep Learning using Rectified Linear Units (ReLU)

Is This a Joke? Humor Detection in Spanish Tweets

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Deploy your Flask web app classifier on Heroku which is written using fastai library.

Coding up a Neural Network Classifier from Scratch

Easily train an image classifier and then use it to label/tag other images

Chatto is a minimal chatbot framework in Go.

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

An emotion classifier of text containing technical content from the SE domain

Efficient tree-based convolutional neural networks in TensorFlow

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Vote ALlocating Immune System, an immune-inspired classification algorithm