feature-extraction

There are 46 repositories under feature-extraction topic.

tsfresh
blue-yonder / tsfresh
Automatic extraction of relevant features from time series:
data-science feature-extraction time-series
Language:Jupyter Notebook 8954
lukemelas / EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
efficientnet-pytorch imagenet feature-extraction pretrained-models
Language:Python 8154
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.
data-science machine-learning deep-learning interview-preparation jobs artificial-intelligence pytorch-tutorial graduate-school pytorch python jax autograd information-theory bayesian-statistics convolutional-neural-networks ensemble-learning feature-extraction logistic-regression loss-functions
4693
ZhaoJ9014 / face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
artificial-intelligence computer-vision convolutional-neural-network data-augmentation deep-learning face-alignment face-detection face-landmark-detection face-recognition feature-extraction fine-tuning hard-negative-mining imbalanced-learning machine-learning model-training nus pytorch supervised-learning tencent transfer-learning
Language:Python 3501
towhee-io / towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
machine-learning convolutional-networks embedding-vectors embeddings computer-vision image-processing video-processing feature-extraction image-retrieval unstructured-data feature-vector transformer milvus towhee vision-transformer vit pipeline llm
Language:Python 3422
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
data-reduction feature-extraction python
Language:Python 2333
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
automl data-engineering data-science deep-learning feature-engineering feature-extraction kubernetes machine-learning neural-networks personalization ranking scala search
Language:Scala 2119
feature_engine
feature-engine / feature_engine
Feature engineering package with sklearn like functionality
data-science feature-engineering feature-extraction feature-selection machine-learning python scikit-learn
Language:Python 2027
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 : )
cv deep-learning object-detection opencv gstreamer video-analysis ai behaviour-analysis similarity-search deepstream face-recognition feature-extraction image-classification image-segmentation license-plate-recognition reid llm openai ollama multimodal-large-language-models
Language:C++ 1820
4paradigm / OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
feature-engineering machine-learning featurestore in-memory-database database-for-machine-learning machine-learning-database feature-store feature-extraction database-for-ai featureops mlops
Language:C++ 1664
Yimeng-Zhang / feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
python machine-learning feature-engineering feature-selection feature-extraction data-mining
Language:Jupyter Notebook 1601
meyda / meyda
Audio feature extraction for JavaScript.
audio-features javascript feature-extraction spectral-centroid zero-cross mir music-information-retrieval hacktoberfest
Language:TypeScript 1523
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.
deep-learning machine-learning stock-price-prediction features-extraction financial-engineering prediction feature-engineering feature-extraction feature-selection stock-data stock-trading stock-analysis stock-prices stock-market stock-prediction algorithms data-science trading technical-analysis neural-network
Language:Jupyter Notebook 1363
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
cancer-imaging-research computational-imaging docker feature-extraction ibsi medical-imaging nci-itcr nci-qin python radiomics radiomics-feature-extraction radiomics-features tcia-dac
Language:Jupyter Notebook 1306
pykaldi / pykaldi
A Python wrapper for Kaldi
python wrapper kaldi openfst asr speech-recognition speech language-model feature-extraction clif numpy
Language:Python 1012
fraunhoferportugal / tsfel
An intuitive library to extract features from time series.
classification colab-notebook data-science feature-engineering feature-extraction time-series
Language:Python 999
astorfi / speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
feature-extraction python speech-recognition speechpy
Language:Python 885
benfulcher / hctsa
Highly comparative time-series analysis
time-series time-series-analysis matlab feature-extraction
Language:MATLAB 790
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.
data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn
Language:Jupyter Notebook 700
duxuhao / Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
machine-learning feature-engineering feature-selection data-science greedy-search feature-importance feature-extraction
Language:Python 676
chrischoy / FCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
3d correspondence feature-extraction fully-convolutional minkowskiengine neural-network pytorch registration sparse-tensor
Language:Python 666
opensmile
audeering / opensmile
The Munich Open-Source Large-Scale Multimedia Feature Extractor
audio feature-extraction machine-learning
Language:C++ 655
x4nth055 / emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
machine-learning speech-emotion-recognition emotion-recognition emotion-recognizer sklearn kneighborsclassifier random-forest-classifier mfcc feature-extraction emotion-detection keras support-vector-machine gradient-boosting mlp-classifier librosa deep-learning neural-networks recurrent-neural-networks
Language:Python 646
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.
autoencoders best-encoders categorical-variables feature-encoding feature-engg feature-engineering feature-extraction feature-selection featuretools mrmr rfe rfecv xgboost
Language:Python 638
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.
pytorch multi-gpu feature-extraction parallel video-features visual-features audio-features i3d vggish r2plus1d resnet raft optical-flow ig65m clip s3d laion swin timm vit
Language:Python 613
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.
feature-extraction feature-steering llama3 llm-interpretability open-research pytorch sparse-autoencoder
Language:Python 607
loli / medpy
Medical image processing in Python
2d 3d 4d computed-tomography dicom feature-extraction graph-cut image-classification image-processing image-segmentation itk machine-learning magnetic-resonance-imaging medical medpy mha mhd nifti-format python simpleitk
Language:Jupyter Notebook 591
aikho / awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
ai data-science feature-engineering feature-extraction machine-learning
589
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）
acg deep-learning embedding feature-extraction keras tensorflow anime image-search image-super-resolution
558
firmai / deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
data-augmentation tabular-data feature-extraction feature-engineering time-series augmentation data-science machine-learning finance
Language:Jupyter Notebook 552
machinelearnjs / machinelearnjs
Machine Learning library for the web and Node.
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing probabilistic-models structured-data
Language:TypeScript 542
LightGlue-ONNX
fabio-sim / LightGlue-ONNX
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
deep-learning feature-extraction feature-matching homography homography-estimation local-feature-matching local-features machine-learning onnx onnx-torch onnxruntime pytorch visual-localization pose-estimation tensorrt openvino disk lightglue superpoint
Language:Python 519
ar1st0crat / NWaves
.NET DSP library with a lot of audio processing functions
audio dsp filtering sound-effects feature-extraction psychoacoustics sound-synthesis wav mfcc lpc pitch resampling mir signal fda noise time-stretch adaptive-filtering wavelets
Language:C# 484
alicevision / popsift
PopSift is an implementation of the SIFT algorithm in CUDA.
computer-vision cuda feature-extraction gpu image-processing sift
Language:Cuda 456
parameters
easystats / parameters
:bar_chart: Computation and processing of models' parameters
pvalues parameters beta ci confidence-intervals r easystats standardize pca fa bootstrap statistical-models regression-models feature-reduction standardized-estimates feature-extraction data-reduction robust-statistics hacktoberfest r-package
Language:R 455
novoic / surfboard
Novoic's audio feature extraction library
feature-extraction audio machine-learning audio-processing python speech-processing healthcare signal-processing alzheimers-disease parkinsons-disease
Language:Python 437

feature-extraction

blue-yonder / tsfresh

lukemelas / EfficientNet-PyTorch

BoltzmannEntropy / interviews.ai

ZhaoJ9014 / face.evoLVe

towhee-io / towhee

heucoder / dimensionality_reduction_alo_codes

metarank / metarank

feature-engine / feature_engine

sherlockchou86 / VideoPipe

4paradigm / OpenMLDB

Yimeng-Zhang / feature-engineering-and-feature-selection

meyda / meyda

LastAncientOne / Deep_Learning_Machine_Learning_Stock

AIM-Harvard / pyradiomics

pykaldi / pykaldi

fraunhoferportugal / tsfel

astorfi / speechpy

benfulcher / hctsa

ashishpatel26 / Amazing-Feature-Engineering

duxuhao / Feature-Selection

chrischoy / FCGF

audeering / opensmile

x4nth055 / emotion-recognition-using-speech

AutoViML / featurewiz

v-iashin / video_features

PaulPauls / llama3_interpretability_sae

loli / medpy

aikho / awesome-feature-engineering

OysterQAQ / ACG2vec

firmai / deltapy

machinelearnjs / machinelearnjs

fabio-sim / LightGlue-ONNX

ar1st0crat / NWaves

alicevision / popsift

easystats / parameters

novoic / surfboard