Topic: feature-engineering Goto Github

👇 Here are 2491 public repositories matching this topic...

4paradigm / openmldb
feature-engineering,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

abhayspawar / featexp
feature-engineering,Feature exploration for supervised learning
User: abhayspawar
machine-learning feature-engineering data-exploration data-science visualization

achuthasubhash / complete-life-cycle-of-a-data-science-project
feature-engineering,Complete-Life-Cycle-of-a-Data-Science-Project
User: achuthasubhash
feature-engineering unsupervised-learning data-science deep-learning machine-learning exploratory-data-analysis reinforcement-learning eda pytorch supervised-learning

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

alibaba / alink
feature-engineering,Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Organization: alibaba
machine-learning flink classification clustering regression graph-algorithms xgboost recommender recommender-system feature-engineering

alteryx / evalml
feature-engineering,EvalML is an AutoML library written in python.
Organization: alteryx
Home Page: https://evalml.alteryx.com
automl machine-learning data-science model-selection hyperparameter-tuning optimization feature-engineering feature-selection

alteryx / featuretools
feature-engineering,An open source python library for automated feature engineering
Organization: alteryx
Home Page: https://www.featuretools.com
feature-engineering machine-learning data-science automated-machine-learning automl python scikit-learn automated-feature-engineering

alteryx / open_source_demos
feature-engineering,A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Organization: alteryx
python data-science machine-learning evalml featuretools compose feature-engineering tutorial

apachecn / fe4ml-zh
feature-engineering,:book: [译] 面向机器学习的特征工程
Organization: apachecn
Home Page: http://fe4ml.apachecn.org
python feature-engineering machine-learning book

asavinov / intelligent-trading-bot
feature-engineering,Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
User: asavinov
Home Page: https://t.me/intelligent_trading_signals
bitcoin machine-learning artificial-intelligence feature-engineering crypto trading algorithmic-trading crypto-trading trading-bots cryptocurrency

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

autoviml / featurewiz
feature-engineering,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

climbsrocks / auto_ml
feature-engineering,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl lightgbm analytics feature-engineering hyperparameter-optimization deep-learning xgboost keras deeplearning tensorflow artificial-intelligence

cod3licious / autofeat
feature-engineering,Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
User: cod3licious
machine-learning machine-learning-models linear-regression feature-engineering feature-selection automl automated-machine-learning automated-feature-engineering automated-data-science

dagworks-inc / hamilton
feature-engineering,Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Organization: dagworks-inc
Home Page: https://hamilton.dagworks.io/en/latest/
data-science python dag data-engineering dataframe etl etl-framework etl-pipeline feature-engineering featurization

deepwisdom / autodl
feature-engineering,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch

diyago / gan-for-tabular-data
feature-engineering,We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
User: diyago
Home Page: https://towardsdatascience.com/review-of-gans-for-tabular-data-a30a2199342
tabular-data gans train-dataframe adversarial-filtering deep-learning feature-engineering gan machine-learning python

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

epistasislab / tpot
feature-engineering,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning

evinism / mistql
feature-engineering,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

feathr-ai / feathr
feature-engineering,Feathr – A scalable, unified data and AI engineering platform for enterprise
Organization: feathr-ai
Home Page: https://join.slack.com/t/feathrai/shared_invite/zt-1ffva5u6v-voq0Us7bbKAw873cEzHOSg
feature-engineering feature-store artificial-intelligence mlops data-engineering data-quality machine-learning apache-spark azure data-science

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

featureform / featureform
feature-engineering,The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Organization: featureform
Home Page: https://www.featureform.com
machine-learning data-science vector-database embeddings-similarity embeddings hacktoberfest feature-store mlops data-quality feature-engineering

featurestoreorg / serverless-ml-course
feature-engineering,Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Organization: featurestoreorg
mlops serverless course feature-engineering feature-store machine-learning ml model-deployment

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

functime-org / functime
feature-engineering,Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Organization: functime-org
Home Page: https://docs.functime.ai
forecasting machine-learning python time-series polars feature-engineering panel-data

google / temporian
feature-engineering,Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Organization: google
Home Page: https://temporian.readthedocs.io
python cpp feature-engineering temporal-data time-series

houjp / kaggle-quora-question-pairs
feature-engineering,Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
User: houjp
kaggle quora feature-engineering

huntermcgushion / hyperparameter_hunter
feature-engineering,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost

jeongyoonlee / kaggler
feature-engineering,Code for Kaggle Data Science Competitions
User: jeongyoonlee
kaggle python machine-learning feature-engineering automl kaggler

lastancientone / deep_learning_machine_learning_stock
feature-engineering,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

logicalclocks / hopsworks
feature-engineering,Hopsworks - Data-Intensive AI platform with a Feature Store
Organization: logicalclocks
Home Page: https://hopsworks.ai
feature-store aws azure data-science feature-engineering feature-management gcp governance kserve machine-learning mlops model-serving pyspark python serverless ml hopsworks

metarank / metarank
feature-engineering,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

microsoft / nni
feature-engineering,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science

minerva-ml / open-solution-home-credit
feature-engineering,Open solution to the Home Credit Default Risk challenge :house_with_garden:
Organization: minerva-ml
Home Page: https://www.kaggle.com/c/home-credit-default-risk
machine-learning deep-learning kaggle pipeline feature-engineering reproducible-experiments reproducibility pipeline-framework lightgbm xgboost

mljar / mljar-supervised
feature-engineering,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest

nvidia-merlin / nvtabular
feature-engineering,NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Organization: nvidia-merlin
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system

predict-idlab / tsflex
feature-engineering,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

rorysroes / sgx-full-orderbook-tick-data-trading-strategy
feature-engineering,Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
User: rorysroes
high-frequency-trading limit-order-book python machine-learning feature-selection feature-engineering backtesting-trading-strategies model-selection trading-strategies quantitative-trading

salesforce / transmogrifai
feature-engineering,TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Organization: salesforce
Home Page: https://transmogrif.ai
ml automl transformations estimators dsl pipelines machine-learning scala salesforce einstein

sberbank-ai-lab / lightautoml
feature-engineering,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama

simonblanke / hyperactive
feature-engineering,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
User: simonblanke
Home Page: https://simonblanke.github.io/hyperactive-documentation
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

solegalli / feature-engineering-for-machine-learning
feature-engineering,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
machine-learning feature-engineering feature-extraction python data-science

stitchfix / hamilton
feature-engineering,A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Organization: stitchfix
Home Page: https://www.github.com/dagworks-inc/hamilton
python pandas dag data-science data-engineering numpy software-engineering etl-framework etl-pipeline etl

visualize-ml / book6_first-course-in-data-science
feature-engineering,Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
User: visualize-ml
data data-science data-visualization feature-engineering machine-learning python

western-oc2-lab / automl-implementation-for-static-and-dynamic-data-analytics
feature-engineering,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system

winedarksea / autots
feature-engineering,Automated Time Series Forecasting
User: winedarksea
time-series machine-learning automl autots forecasting deep-learning preprocessing feature-engineering

yimeng-zhang / feature-engineering-and-feature-selection
feature-engineering,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

yzkang / my-data-competition-experience
feature-engineering,本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
User: yzkang
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection