There are 43 repositories under feature-extraction topic.
Automatic extraction of relevant features from time series:
A PyTorch implementation of EfficientNet
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🔥🔥
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Feature engineering package with sklearn like functionality
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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.
Highly comparative time-series analysis
Features selector based on the self selected-algorithm, loss function and validation method
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 curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
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.
Machine Learning library for the web and Node.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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, ResNet features.
.NET DSP library with a lot of audio processing functions
PopSift is an implementation of the SIFT algorithm in CUDA.
:bar_chart: Computation and processing of models' parameters
:book: 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.
Flexible time series feature extraction & processing