SuperKogito/spafe

:sound: spafe: Simplified Python Audio Features Extraction

Language: Python - Size: 20.7 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 475 - Forks: 79

ControlNet/MARLIN

[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg

Language: Python - Size: 21.5 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 252 - Forks: 26

FrankYesid/Machine-Learning-ML-Guides

Codes for managing algorithms of development

Language: Jupyter Notebook - Size: 254 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

csukuangfj/kaldifeat

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

Language: C++ - Size: 10.1 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 199 - Forks: 37

LastAncientOne/Deep_Learning_Machine_Learning_Stock

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

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 1,483 - Forks: 343

raphaelvallat/entropy

EntroPy: complexity of time-series in Python (DEPRECATED)

Language: Python - Size: 3.53 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 158 - Forks: 47

JoseRuiz01/NonTextualDataExtraction

Application of CBIR in a real-world domain

Language: Python - Size: 21.4 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

viswanath-lab/BrIC_Code

Language: MATLAB - Size: 22.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 2

tlatkowski/deep-learning-gene-expression

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

Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 36 - Forks: 17

marcocolangelo/ML-Fingerprint_spoofing_detection

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

Language: Python - Size: 11.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

bootphon/learnable-strf

Learnable STRF, from Riad et al. 2021 JASA

Language: Python - Size: 13.7 KB - Last synced at: 21 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 1

protti/FeatTS

FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

Language: Python - Size: 22 MB - Last synced at: 24 days ago - Pushed at: 11 months ago - Stars: 17 - Forks: 2

saltudelft/libsa4py

LibSA4Py: Light-weight static analysis for extracting type hints and features

Language: Python - Size: 454 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 5

Ayoub-etoullali/Satellite-Receiver-Data-Analysis

Analysis of audio-related features from the Azrou center's satellite receiver system, focusing on audio levels, decoder resets, buffer levels, and transport stream errors to identify performance insights and potential issues.

Language: Jupyter Notebook - Size: 7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

cback13/102_flowers

Manipulation of the 102 flowers dataset

Language: Jupyter Notebook - Size: 505 KB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

kaledhoshme123/Multimodal-face-generation-facial-biometrics-

Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty distinguishing between the main person and other people who are highly similar in terms of features.

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Hamedkiri/features_matching_for_object_tracking

Using features-matching algorithm for tracking object

Language: Python - Size: 43.8 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

YogiOnBioinformatics/ChemInformatics-Machine-Learning-with-NNScore-2.0

Project in the Durrant Lab at UPitt that wanted to re-use code from a previous neural network ligand-protein interaction software to extract features for ML

Language: Python - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

kenanmorani/Audio_Signal_Processing_For_Music_Applications_idu

Analysis of public audio datasets and audio datasets of my making

Language: Jupyter Notebook - Size: 46.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

MahdiAll99/MEDimage

Python Open-source package for medical images processing and radiomics features extraction.

Language: Jupyter Notebook - Size: 46.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 6

BiGHeaDMaX/Traitement-Big-Data-avec-Spark

Ce projet a pour but de réaliser un traitement sur des données volumineuses à l'aide de Spark dans le cloud.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vicaaa12/machine-learning

machine learning

Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ritulahoti/Automatic-Microaneurysm-Detection-from-Color-Fundus-Images-in-Diabetic-Retinopathy

The project addresses automatic detection of microaneurysms (MA) which are first detectable changes in Diabetic Retinopathy (DR). Green channel, being the most contrasted channel, of the color fundus images are considered. The algorithm includes pre-processing, MA candidates detection, features extraction, classification and comparison with ground truth to evaluate the performance of classifier model.

Language: MATLAB - Size: 12.8 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 4

bharathsudharsan/COVID-away

Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Language: Python - Size: 102 MB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 4

DIDONEproject/music_symbolic_features

Benchmarks on various datasets for music analysis of symbolic scores

Language: HTML - Size: 49.9 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Halvani/TextUnitLib

A Python library that allows easy extraction of a variety of text units within texts...

Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JonasToth/depth-conversions

Conversion of depth data to derived images that allow classical feature detection. My master thesis.

Language: Gherkin - Size: 380 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

nopesir/thesis-project

Thesis: "Autocalibration of monocular cameras for autonomous driving scenarios", carried out in collaboration with Luxoft. This repository contains all the related code and the two implemented solution pipelines for Structure from Motion (SfM) implementation.

Language: C++ - Size: 120 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

giuseppefilitto/img-segm

automatic pipeline based on MRI segmentation and features extraction

Language: Jupyter Notebook - Size: 397 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

wshclth/gtsd

Generalized Time Series Decomposition (GTSD) is an experimental method of generating and using large recurrence plots to self identify and segment away features of an unknown time series.

Language: C - Size: 55.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Abdulrehman786302/Cell-Phone-detection-in-restricted-areas

The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell phone) images. We then extract relevant features by using classical features extraction techniques including Histogram of Oriented Gradients (HOG) and Speeded up Robust Features (SURF).The extracted features are then, passed to classifier for detection. We employ Support Vector Machine (SVM), Nearest Neighbor (K-NN) and Decision tree classifier which are already trained on our dataset of training images of persons using mobile or otherwise. Finally, the detection performance in terms of error rate is compared for various combinations of feature extraction and classification techniques. Our results show that SURF with SVM classifier gives the best accuracy.

Language: MATLAB - Size: 2.76 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

mchelali/TemporalStability

Spatio-temporal features extraction that measure the stabilty. The proposed method is based on a compression algorithm named Run Length Encoding. The workflow of the method is presented bellow.

Language: Jupyter Notebook - Size: 42.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

AncaElena10/Humor-Detection

A solution for humor detection in binary data, using python and some classification algorithms such as Naive Bayes, KNN, SVM, Decision Trees.

Language: Python - Size: 1.89 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

cbalint13/featvis

FeatVIS: High dimensional feature space visualization

Language: C - Size: 118 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gangeshwark/multimodal_feature_extractors

[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.

Language: Python - Size: 45.9 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 1

obada-jaras/Sentiment-Analysis-of-Twitter-Emotions-using-ML

This sentiment analysis project extracts features such as content length, tokens, hashtags, bad words, and various emojis. It also includes word features. Preprocessing steps include removing stop words, non-Arabic characters, consecutive redundant characters, and stemming to improve the models' accuracy in classifying the tweets. Max accuracy 88%.

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dmckinnon/stitch

An in-depth tutorial on the theory of panorama stitching

Language: C++ - Size: 5.14 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 24 - Forks: 4

xaaaandao/surf

SURF (Speeded Up Robust Features)

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AlinaBaber/Fruit-Recogntion-MachineLearning-ImageProcessing-MatLab

Language: MATLAB - Size: 404 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tanveer-hussain/MVS-using-CNN-and-LSTM

Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM

Language: Python - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 6

dariodellamura/Advanced-Machine-Learning-Image-Classification-Models

Object Classification is one of the most significant tasks whose development is constantly growing in the field of deep learning research. The objective of this study is the development of neural architectures for the classification of images (of fruits and vegetables) contained within the Fruits-360 dataset. The methodological approach adopted to face the task in question has been the development of three models of convolutional neural networks obtained by applying three different techniques typical of deep learning: development of a convolutional neural network ex novo, Use of a pre-computed convolutional neural network using the transfer learning technique and use of a pre-defined convolutional neural network as a feature extraction tool.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

romario076/WeatherFeatures-Extractor

Python tool for extraction lots of different historical features based on weather, climate and others indicators

Language: Python - Size: 1.26 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

e-n-0/Simple-Updater

Simple Updater is a library created in C# and JAVA to help you building an Updater in few lines of code (for your game launcher or other project).

Language: C# - Size: 9.12 MB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

AndreP-git/Kialo-Scraper

Kialo Scraper used for "Argumentative-debates" project. Edited by @FedeSpu

Language: Python - Size: 2.31 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

shiming-chen/DLS-CNN

Codes for the paper "A Robust Of-line Writer Identification Method" in ACTA AUTOMATICA SINICA, 2020

Language: C++ - Size: 376 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

16pxdesign/ai-classification-ML-NET

Emotions recognition application that will be able to distinguish between seven basic facial expressions: joy, surprise, neutral, anger, fear, disgust and sadness.

Language: C# - Size: 68.9 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

imperialite/filipino-linguistic-extractors

This repository contains Python scripts for extracting linguistic features from Filipino texts.

Language: Python - Size: 242 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

alksarioglou/machine_learning_on_stm32

Classifying a person's actions (opening right hand, opening left hand, opening both hands, closing both hands) based on real motor imagery electroencephalogram (EEG) data on an STM32 microcontroller and the Gapuino board using Python and C++, achieved classification accuracy of 40%

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

saraferreirascf/Photos-Videos-Manipulations-Dataset

Dataset for multimedia manipulation detection

Language: Python - Size: 72.4 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

thiagortk/maskRCNN-DisparityMap-OpicalFlow

Using Disparity Map and Optical Flow info to extract features from the detected objects from maskRCNN.

Language: Python - Size: 324 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

masatakashiwagi/analysis-tsfresh

tsfresh is a library that automatically extracts features.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

lopezco/timeseries

Time series features creation

Language: Python - Size: 24.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

martial/ofxFeatureDetector

Little addon for Feature Detection and Image Tracking using OPENCV 3.4 and openFrameworks

Language: C++ - Size: 22.5 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

huchorigard/tools-classification

Using transfer learning to classify tools for a ColRobot application

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0