#Feature-extraction
Showing 60 of 74 repositories tagged #feature-extraction, ranked by stars
Automatic extraction of relevant features from time series:
A PyTorch implementation of EfficientNet
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.
๐ฅ๐ฅHigh-Performance Face Recognition Library on PaddlePaddle & PyTorch๐ฅ๐ฅ
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) ่ทจๅนณๅฐ็่ง้ข็ปๆๅ๏ผ่ง้ขๅๆ๏ผๆกๆถ๏ผ่งๅพๆๅธฎๅฉ็่ฏท็ปไธชๆๆ : )
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Feature engineering and selection open-source Python library compatible with sklearn.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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
An intuitive library to extract features from time series.
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
The Munich Open-Source Large-Scale Multimedia Feature Extractor
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Features selector based on the self selected-algorithm, loss function and validation method
Medical image processing in Python
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.๏ผๆๆฌ่ฏญไนๆฃ็ดขใไปฅๅพๆๅพใ่ฏญไนๆๅพใๅพ็่ถ ๅ่พจ็ใๆจ่็ณป็ป๏ผ
DeltaPy - Tabular Data Augmentation (by @firmai)
Machine Learning library for the web and Node.
PopSift is an implementation of the SIFT algorithm in CUDA.
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Flexible time series feature extraction & processing
:book: 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.
Code repository for the online course Feature Engineering for Machine Learning
Data search & enrichment library for Machine Learning โ Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
The hottest High Dynamic Range (HDR) Library
[GitHub 2021] Open source software for image feature extraction.
A Machine Learning Approach of Emotional Model
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 to their own personal photos and videos.
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Android app analysis and feature extraction library
GammaCV is a WebGL accelerated Computer Vision library for browser
๐ทโโ๏ธ A simple package for extracting useful features from character objects ๐ทโโ๏ธ
Transform your pythonic research to an artifact that engineers can deploy easily.
An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for quantitative research.
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.
PHP-MLX (php-ml next generation) - Machine Learning library for PHP
ezSIFT: An easy-to-use standalone SIFT library written in C/C++
Python implementation of "Elliptic Fourier Features of a Closed Contour"
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Extract deep learning features from images using simple python interface
Python framework for automated time series classification, regression and forecasting
ONNX-compatible DeDoDe ๐ถ Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT ๐
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
Full setup guide and demos for performing Visual SLAM with ORB_SLAM3
Command-line tool for extracting DINO, CLIP, SigLIP2, TIPSv2, RADIO, features for images and videos
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.
Easy-to-Use C++ Computer Vision Library