feature-extraction

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

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.

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

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 package with sklearn like functionality

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.

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

A Python wrapper for Kaldi

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

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

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

An intuitive library to extract features from time series.

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

Highly comparative time-series analysis

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

Machine Learning library for the web and Node.