classifier

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

A curated list of data mining papers about fraud detection.

A curated list of gradient boosting research papers with implementations.

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Machine Learning inference engine for Microcontrollers and Embedded devices

An AI framework for generating and modding osu! beatmaps for all gamemodes from spectrogram inputs.

A flexible, adaptive classification system for dynamic text classification

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

A pytorch implemented classifier for Multiple-Label classification

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…

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Audio feature extraction and classification

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

ALBERT model Pretraining and Fine Tuning using TF2.0

yet another general purpose naive bayesian classifier.

Facial Emotion Recognition on FER2013 Dataset Using a Convolutional Neural Network

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

A Machine Learning classifier for recognizing the digits for humans 🎰

Efficient tree-based convolutional neural networks in TensorFlow

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