79 Open source projects that are alternatives of or similar to smalltext

A pytorch implemented classifier for Multiple-Label classification

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

🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

Create ML playgrounds for building machine learning models. For developers and data scientists.

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

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

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

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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

Efficient tree-based convolutional neural networks in TensorFlow

naive bayes in php

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A License Classifier

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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].

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

📊 Naive Bayes classifier for JavaScript

Simple hand classifier by Pytorch and ResNet

A sophisticated smart symptom search engine

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

Building classifiers using cancer transcriptomes across 33 different cancer-types

Audio feature extraction and classification

k-means clustering in Ruby

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

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

liblinear bindings for Go

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

run a multitude of classifiers on you data and get an AUC report

Ruby Scoring API for PMML

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

Principal component analysis (PCA) in Ruby

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

Vote ALlocating Immune System, an immune-inspired classification algorithm

ALBERT model Pretraining and Fine Tuning using TF2.0

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yet another general purpose naive bayesian classifier.

Classifies sentences whether they represent a fact or personal opinion with 90% accuracy using various Machine Learning algorithms from sklearn library.

Machine Learning inference engine for Microcontrollers and Embedded devices

Simple image classifier microservice using tensorflow and sanic

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

A DHT crawler and torrent indexer

A Machine Learning classifier for recognizing the digits for humans.

Coding up a Neural Network Classifier from Scratch

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

Machine Learning: Collect data online and train a classifier from scratch

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

Deep Learning using Rectified Linear Units (ReLU)

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.

A python script label faces in group photos using Facenet. 🎉

simple rules engine

Chatto is a minimal chatbot framework in Go.

OCR Machine Learning in python

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

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Is This a Joke? Humor Detection in Spanish Tweets

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

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.