Top 115 feature-extraction open source projects

PopSift is an implementation of the SIFT algorithm in CUDA.

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

Feature engineering package with sklearn like functionality

Feature Extractor module for videos using the PySlowFast framework

Visual Place Recognition implemented in PyTorch

Online feature-extraction and classification algorithm that learns representations of input patterns.

A miniature lisp-like language for querying JSON-like structures. Tuned for clientside ML feature extraction.

Things related to graphs

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.

Bottom-up features extractor implemented in PyTorch.

Fingerprint recognition engine for .NET that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.

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

Learning Based Java (LBJava)

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

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

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

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

Official Dynamic Graph Representation PyTorch implement for iris/face recognition

Invariant Superpixel Features for Object Detection

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

Fast k-Nearest Neighbors Classifier for Large Datasets

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Framework to build your own reverse image search engine

The Munich Open-Source Large-Scale Multimedia Feature Extractor

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

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

Feature extraction of speech signal is the initial stage of any speech recognition system.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

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

A basic framework for pulmonary nodule detection and characterization in CT

Compare neural networks by their feature similarity

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Classifying time series using feature extraction

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.

Feature extraction by using SITF+BoF.

Extract deep learning features from images using simple python interface

Graph-based framework for text classification

feature detector and descriptor for spherical panorama

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

Audio feature extraction and classification

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

B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds

Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in early stages, This project is a part of the whole process of identifying Diabetic Retinopathy in its early stages. In this project, we'll extract basic features which can help us in identifying Diabetic Retinopa…

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

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

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

Image cluster 图像聚类

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

Flexible time series feature extraction & processing