115 Open source projects that are alternatives of or similar to slowfast_feature_extractor

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.

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

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

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

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

Audio feature extraction and classification

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

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

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

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Classifying time series using feature extraction

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

Feature extraction by using SITF+BoF.

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

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…

The Munich Open-Source Large-Scale Multimedia Feature Extractor

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…

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

Image cluster 图像聚类

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

Stock for Deep Learning and Machine Learning

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

Compare neural networks by their feature similarity

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.

An intuitive library to extract features from time series

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Invariant Superpixel Features for Object Detection

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.

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

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

Fast k-Nearest Neighbors Classifier for Large Datasets

Extract deep learning features from images using simple python interface

Things related to graphs

feature detector and descriptor for spherical panorama

Framework to build your own reverse image search engine

Learning Based Java (LBJava)

Time series features

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

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

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

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

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

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

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

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

Flexible time series feature extraction & processing

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

📖 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.

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

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。

A basic framework for pulmonary nodule detection and characterization in CT

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

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

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

Bottom-up features extractor implemented in PyTorch.

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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"