Topic: feature-extraction Goto Github

👇 Here are 1665 public repositories matching this topic...

4paradigm / openmldb
feature-extraction,OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Organization: 4paradigm
Home Page: https://openmldb.ai
feature-engineering machine-learning featurestore in-memory-database database-for-machine-learning machine-learning-database feature-store feature-extraction database-for-ai featureops

ahmetozlu / color_recognition
feature-extraction,:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
User: ahmetozlu
Home Page: https://youtu.be/05PYXwBw3Z0
color-recognition color-detection color-classification color-histogram knn-classification opencv-python numpy computer-vision machine-learning data-science

aikho / awesome-feature-engineering
feature-extraction,A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
User: aikho
machine-learning ai data-science feature-engineering feature-extraction

aim-harvard / pyradiomics
feature-extraction,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
Organization: aim-harvard
Home Page: http://pyradiomics.readthedocs.io/
radiomics cancer-imaging-research medical-imaging computational-imaging nci-qin tcia-dac python radiomics-features docker nci-itcr

alicevision / popsift
feature-extraction,PopSift is an implementation of the SIFT algorithm in CUDA.
Organization: alicevision
Home Page: https://popsift.readthedocs.io
computer-vision sift feature-extraction image-processing cuda gpu

antixk / pytorch-model-compare
feature-extraction,Compare neural networks by their feature similarity
User: antixk
pytorch deep-learning neural-networks cka transformers imagenet feature-extraction pip torch-cka

ar1st0crat / nwaves
feature-extraction,.NET DSP library with a lot of audio processing functions
User: ar1st0crat
audio dsp filtering sound-effects feature-extraction psychoacoustics sound-synthesis wav mfcc lpc

ashishpatel26 / amazing-feature-engineering
feature-extraction,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.
User: ashishpatel26
feature-engineering machine-learning deep-learning scikit-learn data-mining data-science data-scientists feature-scaling feature-extraction feature-selection

astorfi / speechpy
feature-extraction,:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
User: astorfi
speech-recognition python feature-extraction speechpy

audeering / opensmile
feature-extraction,The Munich Open-Source Large-Scale Multimedia Feature Extractor
Organization: audeering
Home Page: https://audeering.github.io/opensmile/
machine-learning feature-extraction audio

autoviml / featurewiz
feature-extraction,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.
User: autoviml
feature-engineering categorical-variables best-encoders feature-engg rfe rfecv feature-extraction feature-selection featuretools xgboost

benfulcher / hctsa
feature-extraction,Highly comparative time-series analysis
User: benfulcher
Home Page: https://time-series-features.gitbook.io/hctsa-manual/
feature-extraction matlab time-series time-series-analysis

blue-yonder / tsfresh
feature-extraction,Automatic extraction of relevant features from time series:
Organization: blue-yonder
Home Page: http://tsfresh.readthedocs.io
data-science feature-extraction time-series

boltzmannentropy / interviews.ai
feature-extraction,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.
User: boltzmannentropy
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

chrischoy / fcgf
feature-extraction,Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
User: chrischoy
3d feature-extraction correspondence fully-convolutional neural-network registration pytorch minkowskiengine sparse-tensor

desbordante / desbordante-core
feature-extraction,Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Organization: desbordante
data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-profiling data-science data-wrangling data-preprocessing

dodiku / audioowl
feature-extraction,Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁
User: dodiku
audio analysis music mir python ml rnn data machine-learning music-information-retrieval

duxuhao / feature-selection
feature-extraction,Features selector based on the self selected-algorithm, loss function and validation method
User: duxuhao
Home Page: https://pypi.org/project/MLFeatureSelection/
data-science feature-engineering feature-extraction feature-importance feature-selection greedy-search machine-learning

dynamicsandneuralsystems / catch22
feature-extraction,catch22: CAnonical Time-series CHaracteristics
Organization: dynamicsandneuralsystems
Home Page: https://time-series-features.gitbook.io/catch22
feature-extraction time-series time-series-analysis

easystats / parameters
feature-extraction,:bar_chart: Computation and processing of models' parameters
Organization: easystats
Home Page: https://easystats.github.io/parameters/
pvalues parameters beta ci confidence-intervals r easystats standardize pca fa

evinism / mistql
feature-extraction,A query / expression language for performing computations on JSON-like structures. Tuned for clientside ML feature extraction.
User: evinism
Home Page: https://mistql.com
json query javascript typescript mistql python machine-learning feature-engineering feature-extraction expression-language hacktoberfest

facebookresearch / ego4d
feature-extraction,Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Organization: facebookresearch
Home Page: https://ego4d-data.org/docs/
dataset computer-vision video feature-extraction visuzalization

feature-engine / feature_engine
feature-extraction,Feature engineering package with sklearn like functionality
Organization: feature-engine
Home Page: https://feature-engine.trainindata.com/
data-science feature-engineering feature-extraction feature-selection machine-learning python scikit-learn

firmai / deltapy
feature-extraction,DeltaPy - Tabular Data Augmentation (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3582219
data-augmentation tabular-data feature-extraction feature-engineering time-series augmentation data-science machine-learning finance

fraunhoferportugal / tsfel
feature-extraction,An intuitive library to extract features from time series.
Organization: fraunhoferportugal
Home Page: https://tsfel.readthedocs.io
classification colab-notebook data-science feature-engineering feature-extraction time-series

heucoder / dimensionality_reduction_alo_codes
feature-extraction,特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
User: heucoder
python feature-extraction data-reduction

jalajthanaki / nlpython
feature-extraction,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"
User: jalajthanaki
natural-language-processing python-scripting-language deep-learning text-mining parsing part-of-speech feature-engineering feature-extraction feature-selection python2

lastancientone / deep_learning_machine_learning_stock
feature-extraction,Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
User: lastancientone
deep-learning machine-learning stock-price-prediction features-extraction financial-engineering prediction feature-engineering feature-extraction feature-selection stock-data

loli / medpy
feature-extraction,Medical image processing in Python
User: loli
Home Page: http://loli.github.io/medpy/
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

lukemelas / efficientnet-pytorch
feature-extraction,A PyTorch implementation of EfficientNet
User: lukemelas
efficientnet-pytorch feature-extraction imagenet pretrained-models

machinelearnjs / machinelearnjs
feature-extraction,Machine Learning library for the web and Node.
Organization: machinelearnjs
Home Page: https://www.machinelearnjs.com/
machine-learning easy-to-use minimalistic web node statistical-learning random-forest svm feature-extraction data-preprocessing

mesutpiskin / computer-vision-guide
feature-extraction,: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.
User: mesutpiskin
Home Page: https://mesutpiskin.com/blog/opencv-egitim-serisi
opencv goruntu-isleme computer-vision image-processing machine-learning face-recognition object-detection optical-character-recognition deep-neural-networks deep-learning

metarank / metarank
feature-extraction,A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Organization: metarank
Home Page: https://metarank.ai
ranking scala search personalization machine-learning deep-learning data-engineering feature-engineering feature-extraction kubernetes

meyda / meyda
feature-extraction,Audio feature extraction for JavaScript.
Organization: meyda
Home Page: https://meyda.js.org/
audio-features javascript feature-extraction spectral-centroid zero-cross mir music-information-retrieval hacktoberfest

miniailive / facerecognition-livenessdetection
feature-extraction,Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android
Organization: miniailive
Home Page: https://www.miniai.live/
anti-spoofing face-alignment face-detection face-liveness face-liveness-detection face-mask-detection face-matching face-recognition face-tracking feature-extraction age-gender-estimation authentication biometrics ekyc-verification face-attributes idv kyc-service nist-frvt onboarding passive-liveness

novoic / surfboard
feature-extraction,Novoic's audio feature extraction library
Organization: novoic
Home Page: https://novoic.com
feature-extraction audio machine-learning audio-processing python speech-processing healthcare signal-processing alzheimers-disease parkinsons-disease

oysterqaq / acg2vec
feature-extraction,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）
User: oysterqaq
Home Page: https://cheerfun.dev/acg2vec/
acg deep-learning embedding feature-extraction keras tensorflow anime image-search image-super-resolution

predict-idlab / tsflex
feature-extraction,Flexible time series feature extraction & processing
Organization: predict-idlab
Home Page: https://predict-idlab.github.io/tsflex/
python processing data-science time-series feature-extraction window-stride pandas multimodal multivariate feature-engineering

psychoinformaticslab / pliers
feature-extraction,Automated feature extraction in Python
Organization: psychoinformaticslab
Home Page: https://pliers.readthedocs.io/en/latest/
python audio video feature-extraction

pykaldi / pykaldi
feature-extraction,A Python wrapper for Kaldi
Organization: pykaldi
Home Page: https://pykaldi.github.io
python wrapper kaldi openfst asr speech-recognition speech language-model feature-extraction clif

raphaelvallat / antropy
feature-extraction,AntroPy: entropy and complexity of (EEG) time-series in Python
User: raphaelvallat
Home Page: https://raphaelvallat.com/antropy/
python signal-processing entropy fractal-dimension numba neuroscience eeg complexity signal feature-extraction

sakuranew / bert-attributeextraction
feature-extraction,USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。
User: sakuranew
bert deeplearning ai knowledge-graph relation-extraction nlp feature-extraction fine-tuning attribute-extraction

sherlockchou86 / videopipe
feature-extraction,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 : ) 。**VideoPipe下一版本正在开发中，在保证跨平台、易上手的前提下，预计性能直逼deepstream等各硬件平台官方框架**。
User: sherlockchou86
cv deep-learning object-detection opencv gstreamer video-analysis video-processing ai behaviour-analysis similarity-search deepstream face-recognition feature-extraction image-classification image-enhancement image-segmentation license-plate-recognition reid

solegalli / feature-engineering-for-machine-learning
feature-extraction,Code repository for the online course Feature Engineering for Machine Learning
User: solegalli
Home Page: https://www.trainindata.com/p/feature-engineering-for-machine-learning
data-science feature-engineering feature-extraction machine-learning python

towhee-io / towhee
feature-extraction,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Organization: towhee-io
Home Page: https://towhee.io
machine-learning convolutional-networks embedding-vectors embeddings computer-vision image-processing video-processing feature-extraction image-retrieval unstructured-data

upgini / upgini
feature-extraction,Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Organization: upgini
Home Page: https://upgini.com
data-science machine-learning scikit-learn python-library kaggle open-data public-data automl feature-engineering feature-extraction

v-iashin / video_features
feature-extraction,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.
User: v-iashin
Home Page: https://v-iashin.github.io/video_features
pytorch multi-gpu feature-extraction parallel video-features visual-features audio-features i3d vggish r2plus1d

x4nth055 / emotion-recognition-using-speech
feature-extraction,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
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

yimeng-zhang / feature-engineering-and-feature-selection
feature-extraction,A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
User: yimeng-zhang
python machine-learning feature-engineering feature-selection feature-extraction data-mining

zhaoj9014 / face.evolve
feature-extraction,🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
User: zhaoj9014
pytorch face-recognition face-detection face-alignment face-landmark-detection model-training feature-extraction fine-tuning data-augmentation deep-learning