feature-extraction

Automatic extraction of relevant features from time series:

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.

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

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

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

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.

Audio feature extraction for JavaScript.

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.

A Python wrapper for Kaldi

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

Highly comparative time-series analysis

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.

Face Recognition App; Face Liveness Detection; Face Detection; Face Alignment; Face Identification && Face Verification && Face Compare; Face Matching; Face Tracking; Face Expression && Face Anti Spoofing; Face Attribute && Face Age; Face Transfer; Face Anti-Spoofing; Face Retrieval; face recognition

KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples

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

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

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, and TIMM models.

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Medical image processing in Python

ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）

Machine Learning library for the web and Node.

PopSift is an implementation of the SIFT algorithm in CUDA.