feature-extraction
There are 2038 repositories under feature-extraction topic.
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
BoltzmannEntropy/interviews.ai
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.
ZhaoJ9014/face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
heucoder/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
metarank/metarank
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-engine/feature_engine
Feature engineering package with sklearn like functionality
sherlockchou86/VideoPipe
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
meyda/meyda
Audio feature extraction for JavaScript.
AIM-Harvard/pyradiomics
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
fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
pykaldi/pykaldi
A Python wrapper for Kaldi
astorfi/speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
benfulcher/hctsa
Highly comparative time-series analysis
ashishpatel26/Amazing-Feature-Engineering
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.
audeering/opensmile
The Munich Open-Source Large-Scale Multimedia Feature Extractor
chrischoy/FCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
duxuhao/Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
AutoViML/featurewiz
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.
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
PaulPauls/llama3_interpretability_sae
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
v-iashin/video_features
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.
loli/medpy
Medical image processing in Python
aikho/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
OysterQAQ/ACG2vec
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）
firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
machinelearnjs/machinelearnjs
Machine Learning library for the web and Node.
MIT-SPARK/KISS-Matcher
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
fabio-sim/LightGlue-ONNX
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
ar1st0crat/NWaves
.NET DSP library with a lot of audio processing functions
easystats/parameters
:bar_chart: Computation and processing of models' parameters
alicevision/popsift
PopSift is an implementation of the SIFT algorithm in CUDA.