features-extraction

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

python cpp pytorch kaldi mfcc plp features-extraction fbank online-feature-extractor streaming-feature-extractor

UpdatedAug 7, 2025
C++

raphaelvallat /entropy

Star159

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

python machine-learning entropy signal-processing neuroscience eeg complexity non-linear biosignals eeg-analysis eeg-classification entropy-bits features-extraction permutation-entropy

UpdatedMar 29, 2021
Python

tlatkowski /deep-learning-gene-expression

Sponsor

Star37

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

data-mining deep-learning neural-network feature-detection numpy gene-expression python3 feature-selection feature-extraction gene-annotation autism microarray-data ncbi-database gene-expression-profiles ttest google-colab features-extraction autism-data fisher-score annotated-genes

UpdatedJun 21, 2022
Jupyter Notebook

dmckinnon /stitch

Star33

An in-depth tutorial on the theory of panorama stitching

fast opencv computer-vision matching eigen feature-selection stitching panorama sift svd ransac bundle-adjustment feature homography homography-estimator panorama-stitching features-extraction feature-description poisson-blending

UpdatedOct 7, 2018
C++

akshaydnicator /Twitter-Sentiment-Analysis-NLP-Hackathon

Star20

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

nlp machine-learning twitter deep-learning sentiment-analysis hackathon cross-validation spacy neural-networks keras-tensorflow pre-processing punctuation-marks cnn-classification wordvectors sklearn-library features-extraction analytics-vidhya bert-embeddings elmo-vectors lemmetization

UpdatedMay 17, 2020
Python

bharathsudharsan /COVID-away

Star19

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

visualization optimization gyroscope accelerometer dataset-creation pickle sensor-fusion smartwatch cnn-model barometric-pressure local-outlier-factor one-class-svm iforest features-extraction tflite one-class-classification rotation-vectors covid-19 3d-motion

UpdatedJul 23, 2022
Python

protti /FeatTS

Star17

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.

time-series clustering papers time-series-clustering features-extraction

UpdatedJul 22, 2024
Python

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

Star13

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

deep-learning video-summarization cnn lstm summarization object-detection vs mvs sequential-learning features-extraction yolov3 multi-view-video-summarization learned-features-extraction sequential-features-extraction

UpdatedFeb 4, 2021
Python

bootphon /learnable-strf

Star13

Learnable STRF, from Riad et al. 2021 JASA

machine-learning neural-network pytorch speech-processing audio-processing melspectrogram features-extraction

UpdatedAug 21, 2021
Python

MahdiAll99 /MEDimage

Star12

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

python medical-imaging cancer-imaging-research radiomics medical-image-analysis features-extraction ibsi radiomics-feature-extraction radiomics-analysis radiomics-extraction radiomic-features medimage

UpdatedJan 11, 2025
Jupyter Notebook

saltudelft /libsa4py

Star12

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

python machine-learning static-analysis light-weight type-hints features-extraction ast-analysis libsa4py

UpdatedAug 23, 2023
Python

mlpapers /feature-extraction

Star9

Awesome papers on Feature Extraction (Dimensionality Reduction)

awesome feature-extraction pca dimensionality-reduction awesome-list principal-component-analysis features-extraction

UpdatedMay 25, 2020

shiming-chen /DLS-CNN

Star9

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

convolutional-neural-network line-segmentation writer-identification features-extraction writer-retrieval

UpdatedSep 30, 2020
C++

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

Star8

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 grou…

classification diabetic-retinopathy features-extraction matlab-code microaneurysm-detection naive-bayes-density-estimate

UpdatedMay 26, 2020
MATLAB

mchelali /TemporalStability

Star7

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.

computer-vision image-processing features-extraction image-time-series temporal-stability