Search results for neural network feature extraction

18 search results found

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Deep_learning_machine_learning_stock ⭐ 1,093

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Emotion Recognition Using Speech ⭐ 392

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Fcgf ⭐ 304

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Textfeatures ⭐ 143

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Pytorch Model Compare ⭐ 71

Compare neural networks by their feature similarity

Lane And Vehicles Detection ⭐ 53

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

Mlnotebooks ⭐ 52

Demonstration notebooks for Machine Learning

S Tsfe Dl ⭐ 44

Time Series Feature Extraction using Deep Learning

Deepmalwaredetector ⭐ 40

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

Bob ⭐ 40

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Segmentationcnn ⭐ 36

Music segmentation using convolutional neural networks.

Grace ⭐ 32

Graph Representation Analysis for Connected Embeddings

Mapextrackt ⭐ 29

Pytorch Feature Map Extractor

Kivyandroidclassification ⭐ 21

Image Classification for Android using Artificial Neural Network using NumPy and Kivy.

Spiking_resnet ⭐ 18

Official implementation of the paper Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks

Instacart Market Basket Analysis ⭐ 17

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Deep Learning Gene Expression ⭐ 10

Deep learning methods for feature selection in gene expression autism data.

Hand Gesture Recognition Machine Learning ⭐ 8

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

Deep Neural Network For Clustering ⭐ 8

Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique

Mml Feature Learning ⭐ 8

Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks

Hsi Toolbox ⭐ 6

Hyperspectral CNN compression and band selection

Hand Gesture Recognition ⭐ 6

🖐 An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.

Dnn Speech Recognizer ⭐ 5

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

Speaker Recognition ⭐ 5

Identifying which celebrity is speaking through deep learning

Nested Bigrams ⭐ 5

A repository containing the source code, datasets, and ranked features for the Nested Bigrams method proposed in a paper published in ICDMW. This method is designed for authorship attribution in source code to address cybersecurity issues.