Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/feathr-ai/feathr
Feathr – A scalable, unified data and AI engineering platform for enterprise
apache-spark artificial-intelligence azure data-engineering data-quality data-science feature-engineering feature-governance feature-management feature-marketplace feature-metadata feature-platform feature-store machine-learning mlops
Last synced: 29 Jun 2024
https://github.com/alteryx/evalml
EvalML is an AutoML library written in python.
automl data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-selection optimization
Last synced: 27 Jun 2024
https://github.com/xiaoganghan/awesome-feature-engineering
A curated list of feature engineering techniques for image and text machine learning
deep-learning feature-engineering machine-learning
Last synced: 25 Jun 2024
https://github.com/thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automated-machine-learning automation automl automl-algorithms bayesian-optimization data-science deep-learning ensemble-learning feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-models machine-learning-projects machinelearning machinelearning-python pypi python
Last synced: 24 Jun 2024
https://github.com/matheusccouto/autolearn
Automated machine learning.
feature-engineering machine-learning python
Last synced: 24 Jun 2024
https://github.com/databrickslabs/automl-toolkit
Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.
apache-spark feature-engineering machinelearning ml pyspark scala spark
Last synced: 24 Jun 2024
https://github.com/giantcroc/featuretoolsOnSpark
A simplified version of featuretools for Spark
automated-feature-engineering automated-machine-learning automl deep-feature-synthesis feature-engineering featuretools machine-learning python spark
Last synced: 24 Jun 2024
https://github.com/cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models
Last synced: 24 Jun 2024
https://github.com/oskar-j/awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
automl awesome-list feature-engineering hyperparameter-tuning machine-learning model-tuning
Last synced: 24 Jun 2024
https://github.com/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
Last synced: 23 Jun 2024
https://github.com/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
Last synced: 22 Jun 2024
http://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 21 Jun 2024
https://github.com/apachecn/fe4ml-zh
:book: [译] 面向机器学习的特征工程
book feature-engineering machine-learning python
Last synced: 20 Jun 2024
https://github.com/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
automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost
Last synced: 20 Jun 2024
https://github.com/ahmedengu/feature_importance
Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators
adaptive deep-learning feature-engineering feature-extraction feature-selection financial-markets machine-learning research stock-price-prediction technical-indicators xgboost
Last synced: 17 Jun 2024
https://github.com/KennethanCeyer/awesome-llmops
Awesome series for LLMOps
bard deep-learning feature-engineering gpt large-language-models llm llmops machine-learning mlops nlp
Last synced: 16 Jun 2024
https://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 15 Jun 2024
https://github.com/v1tzor/TimePlanner
Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts
alarmmanager android charts clean-architecture compose feature-engineering flow jetpack-compose kotlin kotlin-coroutines material3 mvi mvi-clean-architecture notifications planner-app room unittest voyager
Last synced: 14 Jun 2024
https://github.com/firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
augmentation data-augmentation data-science feature-engineering feature-extraction finance machine-learning tabular-data time-series
Last synced: 07 Jun 2024
https://github.com/functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
feature-engineering forecasting machine-learning panel-data polars python time-series
Last synced: 07 Jun 2024
https://github.com/alibaba/feathub
FeatHub - A stream-batch unified feature store for real-time machine learning
apache-flink data data-engineering data-quality data-science feature-engineering feature-store machine-learning mlops streaming
Last synced: 07 Jun 2024
https://github.com/rakiiibul/auto_insurance_fraud
Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.
actuarial-science car-insurance data-mining datascience feature-engineering hyperparameter-tuning insurance-frauds machine-learning outlier-detection r-language rmd
Last synced: 03 Jun 2024
https://github.com/DeDeDeDer/Personal_Projects
This holds all my personal data-related project's (Automation, Modelling, Analysis)
actuarial-science actuarial-statistics claims-reserving datascience datascraping excelvba exploratory-data-analysis feature-engineering insurance-claims modelling-framework predictive-modeling python3
Last synced: 03 Jun 2024
https://github.com/winedarksea/AutoTS
Automated Time Series Forecasting
automl autots deep-learning feature-engineering forecasting machine-learning preprocessing time-series
Last synced: 31 May 2024
https://github.com/fraunhoferportugal/tsfel
An intuitive library to extract features from time series.
classification colab-notebook data-science feature-engineering feature-extraction time-series
Last synced: 31 May 2024
https://github.com/smg478/OralCancerDetectionOnCTImages
C++ implementation of oral cancer detection on CT images
cancer-detection classification-algorithm computed-tomography computer-aided-detection feature-engineering image-processing neural-network
Last synced: 29 May 2024
https://github.com/HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Last synced: 20 May 2024
https://github.com/praktiskt/featuretoolsR
An R interface to the Python module Featuretools
feature-engineering featuretools machine-learning r-package rstats
Last synced: 20 May 2024
https://github.com/davpinto/fastknn
Fast k-Nearest Neighbors Classifier for Large Datasets
decision-boundaries dimension-reduction feature-engineering feature-extraction kaggle knn nearest-neighbors rstats shrinkage-estimator
Last synced: 20 May 2024
https://github.com/eifuentes/awesome-embeddings
🪁A curated list of awesome resources around entity embeddings
awesome awesome-list deep-learning embedding embeddings feature-engineering machine-learning
Last synced: 19 May 2024
https://github.com/upgini/upgini
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
automated-feature-engineering automl automl-pipeline chatgpt data-enrichment data-science feature-engineering feature-extraction feature-selection features kaggle kaggle-solution large-language-models llm machine-learning open-data open-datasets public-data python-library scikit-learn
Last synced: 18 May 2024
https://github.com/jianzhnie/AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡
automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost
Last synced: 13 May 2024
https://github.com/featureform/featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
data-quality data-science embeddings embeddings-similarity feature-engineering feature-store hacktoberfest machine-learning ml mlops python vector-database
Last synced: 13 May 2024
https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
data-mining feature-engineering feature-extraction feature-selection machine-learning python
Last synced: 13 May 2024
https://github.com/achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
analysis data-analysis data-science dataset deep-learning eda exploratory-data-analysis feature-engineering federated-learning machine-learning nlp-models python python-library pytorch reinforcement-learning scraper supervised-learning transfer-learning unsupervised-learning web-scraping
Last synced: 13 May 2024
https://github.com/404notf0und/FXY
Security-Scenes-Feature-Engineering-Toolkit, Continuous Integration.一款安全数据特征化工具
data-analysis data-mining feature-engineering machine-learning security security-scenes
Last synced: 12 May 2024
https://github.com/minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
competition credit-risk credit-scoring deep-learning feature-engineering kaggle lightgbm machine-learning neptune open-source pipeline pipeline-framework python python3 python35 reproducibility reproducible-experiments xgboost
Last synced: 12 May 2024
https://github.com/asavinov/lambdo
Feature engineering and machine learning: together at last!
data-analysis data-mining data-science feature-engineering forecasting forecasting-models machine-learning time-series
Last synced: 12 May 2024
https://github.com/ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost
Last synced: 12 May 2024
https://github.com/logicalclocks/hopsworks
Hopsworks - Data-Intensive AI platform with a Feature Store
aws azure data-science feature-engineering feature-management feature-store gcp governance hopsworks kserve machine-learning ml mlops model-serving pyspark python serverless
Last synced: 11 May 2024
https://github.com/predict-idlab/tsflex
Flexible time series feature extraction & processing
data-science feature-engineering feature-extraction multimodal multivariate pandas processing python time-series window-stride
Last synced: 09 May 2024
https://github.com/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
Last synced: 09 May 2024
https://github.com/mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost
Last synced: 09 May 2024
https://github.com/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
Last synced: 07 May 2024
https://github.com/EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 05 May 2024
https://github.com/microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow
Last synced: 05 May 2024
https://github.com/nikolaydubina/go-featureprocessing
🔥 Fast, simple sklearn-like feature processing for Go
feature-engineering go machine-learning
Last synced: 04 May 2024
https://github.com/IliaZenkov/sklearn-audio-classification
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn
Last synced: 02 May 2024
https://github.com/galliaproject/gallia-core
A schema-aware Scala library for data transformation
data-engineering data-manipulation data-science data-transformation etl feature-engineering json nesting scala spark
Last synced: 30 Apr 2024
https://github.com/DAGWorks-Inc/hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
dag data-analysis data-engineering data-science dataframe etl etl-framework etl-pipeline feature-engineering featurization hacktoberfest lineage llmops machine-learning mlops numpy orchestration pandas python software-engineering
Last synced: 28 Apr 2024
https://github.com/feature-engine/feature_engine
Feature engineering package with sklearn like functionality
data-science feature-engineering feature-extraction feature-selection machine-learning python scikit-learn
Last synced: 28 Apr 2024
https://github.com/alteryx/featuretools
An open source python library for automated feature engineering
automated-feature-engineering automated-machine-learning automl data-science feature-engineering machine-learning python scikit-learn
Last synced: 28 Apr 2024
https://github.com/sberbank-ai-lab/LightAutoML
LAMA - automatic model creation framework
automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox
Last synced: 27 Apr 2024
https://github.com/ekagra-ranjan/GS-Quantify-17
GS-Quantify' 17, Goldman Sachs Data Science Competition
boosting-algorithm cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection goldmann-sachs gradient-boosting-machine gs-quantify gsquantify linear-regression sklearn xgb-classifier xgboost
Last synced: 23 Apr 2024
https://github.com/ekagra-ranjan/Optimal-Bidding
Inter IIT Techmeet 2017, IIT Madras - Data Science Competition
bid-price bidding boosting-algorithm cross-validation data-science data-science-challenges data-science-competition electricity-market ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine interiit knn linear-regression market-price random-forest sklearn svm
Last synced: 23 Apr 2024
https://github.com/ekagra-ranjan/Analyze-This-18
(National Rank: 22) Analyze This' 18, American Express Data Science Competition
american-express americanexpress analyze-this boosting-algorithms corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost
Last synced: 23 Apr 2024
https://github.com/ekagra-ranjan/Analyze-This-17
Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')
american-express americanexpress analyze-this boosting-algorithm corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost
Last synced: 23 Apr 2024
https://github.com/bytehub-ai/bytehub
ByteHub: making feature stores simple
bytehub-cloud dask data-engineering data-science feature-engineering feature-store featurestore forecasting machine-learning machinelearning machinelearning-python pandas timeseries
Last synced: 23 Apr 2024
https://github.com/buds-lab/the-building-data-genome-project
A collection of non-residential buildings for performance analysis and algorithm benchmarking
commercial-building electrical-meters electricity-meter energy-efficiency feature-engineering feature-extraction jupyter-notebook open-data smart-meter temporal-data
Last synced: 22 Apr 2024
https://github.com/NITRO-AI/NitroFE
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
feature feature-engineering features indicator indicators machine-learning time-series timeseries
Last synced: 22 Apr 2024
https://github.com/chrislemke/sk-transformers
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
data-science feature-engineering feature-selection machine-learning pandas preprocessing python scikit-learn scikit-learn-pipelines scikit-learn-transformer
Last synced: 22 Apr 2024
https://github.com/Yimeng-Zhang/Machine-Learning-From-Scratch
系统梳理机器学习的各个知识点。
feature-engineering feature-selection machine-learning
Last synced: 22 Apr 2024
https://github.com/Desbordante/desbordante-core
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.
anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data
Last synced: 21 Apr 2024
https://github.com/stitchfix/hamilton
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
dag data-engineering data-platform data-science dataframe etl etl-framework etl-pipeline feature-engineering featurization hamilton hamiltonian machine-learning numpy pandas python software-engineering stitch-fix
Last synced: 20 Apr 2024
https://github.com/jalajthanaki/NLPython
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"
deep-learning feature-engineering feature-extraction feature-selection natural-language-processing parsing part-of-speech python-scripting-language python2 text-mining
Last synced: 17 Apr 2024
https://github.com/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.
algorithms data-science deep-learning feature-engineering feature-extraction feature-selection features-extraction financial-engineering machine-learning neural-network prediction stock-analysis stock-data stock-market stock-prediction stock-price-prediction stock-prices stock-trading technical-analysis trading
Last synced: 17 Apr 2024
https://github.com/jo-cho/Technical_Analysis_and_Feature_Engineering
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
algorithmic-trading feature-engineering
Last synced: 17 Apr 2024
https://github.com/asavinov/intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
algorithmic-trading artificial-intelligence bitcoin crypto crypto-trading cryptocurrency feature-engineering machine-learning trading trading-bots
Last synced: 17 Apr 2024
https://github.com/kozodoi/dptools
Python package with utilities for data processing, aggregation, feature engineering and data versioning
aggregation data-preparation data-preprocessing data-science feature-engineering python
Last synced: 16 Apr 2024
https://github.com/raptor-ml/raptor
Transform your pythonic research to an artifact that engineers can deploy easily.
ai-infra data-engineering data-science dataops feature-engineering feature-extraction feature-platform featurestore kubeflow kubernetes machine-learning ml mlops model-deployment production raptor raptor-ml reactive-ml
Last synced: 16 Apr 2024
https://github.com/18D070001/Electrical-Devices-Identification-Model
Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.
colab-notebook electrical feature-engineering feature-extraction machine-learning nilm nilm-algorithms python-3 signal-processing
Last synced: 15 Apr 2024
https://github.com/Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system iot iot-data-analytics machine-learning model-selection python-examples python-samples
Last synced: 11 Apr 2024
https://github.com/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.
algorithmic-trading backtesting-trading-strategies feature-engineering feature-selection high-frequency-trading investment limit-order-book machine-learning market-maker market-making market-microstructure model-selection orderbook orderbook-tick-data python quant quantitative-trading trading trading-strategies
Last synced: 10 Apr 2024
https://github.com/imgcook/datacook
Machine Learning and Data Analysis in JavaScript.
data-science feature-engineering javascript machine-learning
Last synced: 08 Apr 2024
https://github.com/KxSystems/mlnotebooks
Demonstration notebooks for Machine Learning
dimensionality embedpy feature-engineering jupyter-notebook kdb machine-learning neural-network notebook q
Last synced: 08 Apr 2024
https://github.com/MindSetLib/Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning
Last synced: 01 Apr 2024
https://github.com/dominance-analysis/dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value
Last synced: 01 Apr 2024
https://github.com/DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow
Last synced: 31 Mar 2024
https://github.com/SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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
Last synced: 27 Mar 2024
https://github.com/abhayspawar/featexp
Feature exploration for supervised learning
data-exploration data-science feature-engineering machine-learning visualization
Last synced: 24 Mar 2024
https://github.com/evinism/mistql
A query / expression language for performing computations on JSON-like structures. Tuned for clientside ML feature extraction.
expression-language feature-engineering feature-extraction hacktoberfest javascript json machine-learning mistql python query typescript
Last synced: 22 Mar 2024
https://github.com/google/temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
cpp feature-engineering python temporal-data time-series
Last synced: 21 Mar 2024
https://github.com/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.
best-encoders categorical-variables feature-engg feature-engineering feature-extraction feature-selection featuretools rfe rfecv xgboost
Last synced: 19 Mar 2024
https://github.com/asavinov/prosto
Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
business-intelligence data-preparation data-preprocessing data-processing data-science data-wrangling feature-engineering map-reduce olap pandas python spark workflow
Last synced: 18 Mar 2024
https://github.com/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
Last synced: 17 Mar 2024
https://github.com/Aura-healthcare/hrv-analysis
Package for Heart Rate Variability analysis in Python
feature-engineering heart-rate-variability python rr-interval
Last synced: 17 Mar 2024
https://github.com/4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
database-for-ai database-for-machine-learning feature-engineering feature-extraction feature-store featureops featurestore in-memory-database machine-learning machine-learning-database mlops
Last synced: 17 Mar 2024
https://github.com/ballet/ballet
☀️🦶 A lightweight framework for collaborative, open-source feature engineering
collaborative-data-science feature-engineering
Last synced: 14 Mar 2024
