A PyTorch implementation of EfficientNet

Automatic extraction of relevant features from time series:

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

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

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

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

Code repository for the online course Feature Engineering for Machine Learning

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android

Feature engineering package with sklearn like functionality

Highly comparative time-series analysis

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.

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.

A Python wrapper for Kaldi

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

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

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"

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

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