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Search results for python feature extraction

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210 search results found

Efficientnet Pytorch ⭐ 6,577

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Interviews.ai ⭐ 3,146

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Face.evolve ⭐ 3,074

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Towhee ⭐ 2,903

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

Keras Bert ⭐ 2,281

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Dimensionality_reduction_alo_codes ⭐ 1,949

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

Awesome_time_series_in_python ⭐ 1,811

This curated list contains python packages for time series analysis

Feature_engine ⭐ 1,651

Feature engineering package with sklearn like functionality

Pyradiomics ⭐ 1,060

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Pykaldi ⭐ 954

A Python wrapper for Kaldi

Facerec ⭐ 906

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

Speechpy ⭐ 828

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

Feature Engineering And Feature Selection ⭐ 798

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

An intuitive library to extract features from time series.

Medical image processing in Python

Featurewiz ⭐ 516

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Feature Selection ⭐ 475

Features selector based on the self selected-algorithm, loss function and validation method

Video_features ⭐ 397

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Emotion Recognition Using Speech ⭐ 392

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

Surfboard ⭐ 369

Novoic's audio feature extraction library

Flexible time series feature extraction & processing

A query / expression language for performing computations on JSON-like structures. Tuned for clientside ML feature extraction.

Feature Engineering For Machine Learning ⭐ 314

Code repository for the online course Feature Engineering for Machine Learning

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

Nlpython ⭐ 302

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Automated feature extraction in Python

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Computer Vision Guide ⭐ 204

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Antropy ⭐ 203

AntroPy: entropy and complexity of (EEG) time-series in Python

Speech_signal_processing_and_classification ⭐ 203

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of th

Opensmile Python ⭐ 197

Python package for openSMILE

Bert Attributeextraction ⭐ 185

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Pyaudioprocessing ⭐ 175

Audio feature extraction and classification

Tf_featureextraction ⭐ 167

Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim

Color_recognition ⭐ 148

Color Recognition on a Webcam Stream / on Video / on a Single Image using K-Nearest Neighbors (KNN) is Trained with Color Histogram Features.

Msmbuilder ⭐ 124

🏗️ Statistical models for biomolecular dynamics 🏗️

Music Emotion Recognition ⭐ 117

A Machine Learning Approach of Emotional Model

Audioowl ⭐ 116

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Lingfeat ⭐ 113

LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

Pyfeats ⭐ 111

Open source software for image feature extraction.

Pyhsiclasso ⭐ 111

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Twitterbots ⭐ 109

The code used in the "Don't @ Me: Hunting Twitter Bots at Scale" Black Hat presentation

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Siftimagesimilarity ⭐ 100

Interactive code for image similarity using SIFT algorithm

Baidu Dogs ⭐ 99

Baidu competition for classifying dogs. More information is provided at http://js.baidu.com

Video_feature_extractor ⭐ 98

Easy to use video deep features extractor

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Nba_betting ⭐ 93

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Single-cell ATAC-seq analysis via Latent feature Extraction

[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Open Reid Tracking ⭐ 76

open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included

Python implementation of "Elliptic Fourier Features of a Closed Contour"

Graphrole ⭐ 71

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Pytorch Model Compare ⭐ 71

Compare neural networks by their feature similarity

Carnd Transfer Learning Lab ⭐ 64

Image_features ⭐ 60

Extract deep learning features from images using simple python interface

Subtitle Synchronization ⭐ 59

Time Series Classification ⭐ 59

Classifying time series using feature extraction

Python Implementation of Feature Extraction with K-Nearest Neighbor

Mixingbear ⭐ 45

Package for automatic beat-mixing of music files in Python 🐻🎚

Easy-to-Use C++ Computer Vision Library

S Tsfe Dl ⭐ 44

Time Series Feature Extraction using Deep Learning

Emotion Recognition ToolKit (ERTK): tools for emotion recognition. Dataset processing, feature extraction, experiments,

Bottom Up Features ⭐ 44

Bottom-up features extractor implemented in PyTorch.

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

feATURE eXTRACTOR FOR tIME sERIES

Slowfast_feature_extractor ⭐ 41

Feature Extractor module for videos using the PySlowFast framework

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

Deepmalwaredetector ⭐ 40

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

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Fast_dense_feature_extraction ⭐ 38

A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

Protlearn ⭐ 38

A Python package for extracting protein sequence features

Documentfeatureselection ⭐ 37

A set of metrics for feature selection from text data

Music Genre Classification ⭐ 37

Automatic Music Genre Classification with Machine Learning Techniques

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

[TGRS 2020] The official repo for the paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification".

Textfeatureextraction ⭐ 36

Self complemented text feature extraction using algorithms including CHI, DF, IG, MI for the experiment of text classification based on sogou online news，基于卡方检验CHI，文档频率DF, 信息增益IG，互信息MI的文本特征提取与实现

Zero Shot Learning ⭐ 36

Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings

Segmentationcnn ⭐ 36

Music segmentation using convolutional neural networks.

This is the public repository for eigenvector-based SALSA features for polyphonic sound event localization and detection.

Iconographic Visualization Inside Computational Notebooks

Vae Audio ⭐ 32

Variational auto-encoders for audio

Feature Based Opinion Mining ⭐ 32

Extracting all the features of a product from its reviews, giving every feature a score (depending on the user reviews) and also ranking the reviews based on their usefulness

Imsearch ⭐ 32

Framework to build your own reverse image search engine

Mesh Signatures ⭐ 32

A small project implementing different per-vertex mesh signatures.

Place Recognition ⭐ 31

Visual Place Recognition implemented in PyTorch

Dyamic Graph Representation ⭐ 30

Official Dynamic Graph Representation PyTorch implement for iris/face recognition

Face Recogntion Detection ⭐ 30

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

Mapextrackt ⭐ 29

Pytorch Feature Map Extractor

Biopeaks ⭐ 28

biopeaks: a graphical user interface for feature extraction from heart- and breathing biosignals

Kaggle Pipeline ⭐ 27

Cuff_less_bp_prediction ⭐ 27

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

Pyaesthetics ⭐ 27

A python package to extract visual features about the aesthetic appearance from still images.

Lightweight Image Featurization Made Easy

Indivisible ⭐ 26

Aggregating call to action sites into a single application.

Openmosaic ⭐ 26

python implementation of a photo mosaic software

Comparison of Hi-C Experiments using Structural Similarity.

Geomfmaps_pytorch ⭐ 23

A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"

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