feature-engineering

There are 36 repositories under feature-engineering topic.

nni
microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science tensorflow pytorch neural-network deep-neural-network model-compression feature-engineering nas python feature-extraction hyperparameter-tuning
Language:Python 11627
EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection parameter-tuning python random-forest scikit-learn xgboost
Language:Python 8620
featuretools
alteryx / featuretools
An open source python library for automated feature engineering
feature-engineering machine-learning data-science automated-machine-learning automl python scikit-learn automated-feature-engineering
Language:Python 6234
feast-dev / feast
Feature Store for Machine Learning
machine-learning features ml big-data feature-engineering feature-store python mlops data-engineering data-science data-quality
Language:Python 3313
alibaba / Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost
Language:Java 3143
apachecn / fe4ml-zh
:book: [译] 面向机器学习的特征工程
book feature-engineering machine-learning python
Language:JavaScript 2367
salesforce / TransmogrifAI
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
ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify
Language:Scala 2121
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 1937
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
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
Language:Python 1575
4paradigm / OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform enabling 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++ 1511
metarank / metarank
A low code Machine Learning service that personalizes articles, listings, search results, recommendations to boost user engagement. A friendly Learn-to-Rank engine
ranking scala search personalization machine-learning deep-learning data-engineering feature-engineering feature-extraction kubernetes data-science
Language:Scala 1454
rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
high-frequency-trading limit-order-book python machine-learning feature-selection feature-engineering backtesting-trading-strategies model-selection trading-strategies quantitative-trading algorithmic-trading investment orderbook-tick-data quant trading market-making market-maker market-microstructure orderbook
Language:Jupyter Notebook 1059
DeepWisdom / AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch tensorflow python autodl-challenge ai deeplearning data-science machine-learning big-data multi-label automated-machine-learning
Language:Python 968
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 909
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 771
linkedin / feathr
Feathr – An Enterprise-Grade, High Performance Feature Store
feature-engineering feature-store artificial-intelligence mlops data-engineering data-quality machine-learning mlops-workflow apache-spark azure data-science feature-management feature-marketplace pyspark spark feature-governance feature-metadata features
Language:Scala 736
HouJP / kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
kaggle quora feature-engineering
Language:Python 727
abhayspawar / featexp
Feature exploration for supervised learning
machine-learning feature-engineering data-exploration data-science visualization
Language:Jupyter Notebook 726
NVIDIA-Merlin / NVTabular
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.
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system
Language:Python 706
jeongyoonlee / Kaggler
Code for Kaggle Data Science Competitions
kaggle python machine-learning feature-engineering automl kaggler
Language:Python 702
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost deep-learning data-science python rgf sklearn optimization experimentation feature-engineering ai ml
Language:Python 690
LastAncientOne / Deep-Learning-Machine-Learning-Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for 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 606
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 596
fraunhoferportugal / tsfel
An intuitive library to extract features from time series.
feature-extraction classification time-series colab-notebook data-science feature-engineering
Language:Python 525
AutoTS
winedarksea / AutoTS
Automated Time Series Forecasting
time-series machine-learning automl autots forecasting deep-learning preprocessing feature-engineering
Language:Python 517
stitchfix / hamilton
A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
python pandas dag data-science data-engineering numpy software-engineering etl-framework etl-pipeline etl feature-engineering featurization dataframe stitch-fix data-platform hamilton hamiltonian machine-learning
Language:Python 515
aikho / awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
machine-learning ai data-science feature-engineering feature-extraction
507
evalml
alteryx / evalml
EvalML is an AutoML library written in python.
automl machine-learning data-science model-selection hyperparameter-tuning optimization feature-engineering feature-selection
Language:Python 507
FiboAI / FIBO-Rule
FIBO Rule - 实时AI智能决策引擎、规则引擎、风控引擎、数据流引擎。通过可视化界面进行规则配置，无需繁琐开发，节约人力，提升效率，实时监控，减少错误率，随时调整；支持规则集、评分卡、决策树，名单库管理、机器学习模型、三方数据接入、定制化开发等；
feature-engineering flow-engine risk-management rule-engine rules
Language:Java 504
alteryx / open_source_demos
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
python data-science machine-learning evalml featuretools compose feature-engineering tutorial
Language:Jupyter Notebook 441
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 437
minerva-ml / open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
machine-learning deep-learning kaggle pipeline feature-engineering reproducible-experiments reproducibility pipeline-framework lightgbm xgboost neptune competition credit-scoring credit-risk open-source python python3 python35
Language:Python 412
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning meta-heuristics python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive
Language:Python 401
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.
feature-engineering machine-learning deep-learning scikit-learn data-mining data-science data-scientists feature-scaling feature-extraction feature-selection features data-analysis data-visualization
Language:Jupyter Notebook 352
pytorch / torcharrow
A machine learning preprocessing library over batch data, providing performant and Pandas-style easy-to-use API for model development
python dataframe deep-learning feature-engineering preprocessing
Language:Python 351
yzkang / My-Data-Competition-Experience
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
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection feature-selection model-fusion automl sql python deep-learning gan
Language:Python 338

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