A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.
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Updated
Jan 20, 2022 - Python
A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.
Heuristic structure optimization of nested dichotomies
This folder contains two Machine Learning projects.
Code for a multi-label text classification model for medical inquiry documents using an ensemble learning approach: specifically Boosting.
Implementation of Naive Bayes Algorithm on Text Classification
This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks
Multi-classificatiion of boats using CNN
Implementaiton of BSC-Densenet-121 in Pytorch from research paper "Adding Binary Search Connections to Improve DenseNet Performance".
🗺️ Problema multi-class relativo alla classificazione di attacchi sulla rete.
Tencent Game Security Technology Competition
cpu debug version for AttentionXML with small data
Identifying handwritten digits with a single layer perceptron based multi-class linear regression model.
Action Recognition in youtube videos where people dance ballet, break, waltz and flamenco💃. #multiclass_classification
A deep learning model to classify Traffic Signals.
Imperial College London EE4-68 Pattern Recognition Coursework 2
An aggregator that collects and classifies Car ads published mostly in the Arabic language on four major websites in Egypt and KSA.
Decision tree classifier for multi-class classification WITHOUT any advanced libraries like Pandas, Numpy, Scikit-learn, etc.
Food item classifier with alexnet cnn architecture for online food ordering application.
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