Topic: feature-engineering Goto Github
Some thing interesting about feature-engineering
Some thing interesting about feature-engineering
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,Feature exploration for supervised learning
User: abhayspawar
feature-engineering,Complete-Life-Cycle-of-a-Data-Science-Project
User: achuthasubhash
feature-engineering,A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
User: aikho
feature-engineering,Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Organization: alibaba
feature-engineering,EvalML is an AutoML library written in python.
Organization: alteryx
Home Page: https://evalml.alteryx.com
feature-engineering,An open source python library for automated feature engineering
Organization: alteryx
Home Page: https://www.featuretools.com
feature-engineering,A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Organization: alteryx
feature-engineering,:book: [译] 面向机器学习的特征工程
Organization: apachecn
Home Page: http://fe4ml.apachecn.org
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
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,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,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
feature-engineering,Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
User: cod3licious
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/
feature-engineering,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
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
feature-engineering,Features selector based on the self selected-algorithm, loss function and validation method
User: duxuhao
Home Page: https://pypi.org/project/MLFeatureSelection/
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/
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
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 engineering package with sklearn like functionality
Organization: feature-engine
Home Page: https://feature-engine.trainindata.com/
feature-engineering,The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Organization: featureform
Home Page: https://www.featureform.com
feature-engineering,Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Organization: featurestoreorg
feature-engineering,DeltaPy - Tabular Data Augmentation (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3582219
feature-engineering,An intuitive library to extract features from time series.
Organization: fraunhoferportugal
Home Page: https://tsfel.readthedocs.io
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
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
feature-engineering,Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
User: houjp
feature-engineering,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
feature-engineering,Code for Kaggle Data Science Competitions
User: jeongyoonlee
feature-engineering,Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
User: lastancientone
feature-engineering,Hopsworks - Data-Intensive AI platform with a Feature Store
Organization: logicalclocks
Home Page: https://hopsworks.ai
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
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
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
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
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
feature-engineering,Flexible time series feature extraction & processing
Organization: predict-idlab
Home Page: https://predict-idlab.github.io/tsflex/
feature-engineering,Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
User: rorysroes
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
feature-engineering,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
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
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
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
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
feature-engineering,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
feature-engineering,Automated Time Series Forecasting
User: winedarksea
feature-engineering,A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
User: yimeng-zhang
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
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