Top 115 feature-extraction open source projects

Stock for Deep Learning and Machine Learning

📖 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.

Automated feature extraction in Python

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。

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.

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

An intuitive library to extract features from time series

Time series features

The hottest High Dynamic Range (HDR) Library

Implementation of VLAE

Android app analysis and feature extraction library

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

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

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

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

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 the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

🎨 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.

.NET library for 1D signal processing focused specifically on audio processing

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

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

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

🏗 Statistical models for biomolecular dynamics 🏗

A collection of non-residential buildings for performance analysis and algorithm benchmarking

A C++ Qt GUI desktop program to calculate Harris, FAST, SIFT and SURF image features with OpenCV

Code examples for training AlexNet using Keras and Theano

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Data transformations for the ML era

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

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Deep Learning: Image classification, feature visualization and transfer learning with Keras

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

📢 Ready to learn or review your knowledge!

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

Fast and robust algorithm to extract edges in unorganized point clouds

PHP-ML - Machine Learning library for PHP

TFslim based semantic segmentation models, modular&extensible boutique design

Algorithms for matching audio file similarities. Mirror of https://git.iem.at/sciss/Strugatzki

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

Comprehensive toolkit for generating various numerical features of protein sequences

🐟 A streaming ETL for fish

Content-Based Image Retrieval system (KTH DD2476 Project)

A large scale feature extraction tool for text-based machine learning

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

Simple TF IDF Library

Audio feature extraction for JavaScript.

A Python wrapper for Kaldi

Automatic extraction of relevant features from time series:

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

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

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

Machine Learning library for the web and Node.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Highly comparative time-series analysis

DeltaPy - Tabular Data Augmentation (by @firmai)

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

Medical image processing in Python

Novoic's audio feature extraction library

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"