Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Takes 2 images and says how similar they are based on Euclidean distance of feature vectors

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program

Generates Caption from sample Images Using Deep Neural Networks

Discovers new ontological categories (WordNet synsets) for words based on their lexicosyntactic patterns in Wikipedia

Vehicle detection in dash cam video

The spam classifier classifies the emails into ham or spam depending on the type of mail and based on the Naives bayes machine learning model used in the Project.

Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment.

A project on text classification

Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel fi…

This repository provides examples of image feature vector classification using PySpark and scikit-learn, offering flexibility in choosing between the two popular machine learning libraries.