feature-engineering

Open-source projects categorized as feature-engineering
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Language: + Python + Jupyter Notebook + Scala + C++ + Java + TypeScript
Topics: Machine Learning Data Science Python feature-extraction feature-selection
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Top 23 feature-engineering Open-Source Projects

  • nni

    An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  • featuretools

    An open source python library for automated feature engineering

    • Project mention: Featuretools – A Python Library for Automated Feature Engineering | news.ycombinator.com | 2023-09-20

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    • Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24

    Web App is using two open-source packages that I've created:

    - MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised

    - Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury

    You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.

  • 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

  • feathr

    Feathr – A scalable, unified data and AI engineering platform for enterprise

  • 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.

    • Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08

  • featureform

    The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

    • Project mention: Still look familiar? | /r/u_featureform | 2023-07-13

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • OpenMLDB

    OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

    • Project mention: Comparative Analysis of Memory Consumption: OpenMLDB vs Redis Test Report | dev.to | 2024-04-03

    b. Pull the testing code

  • hamilton

    Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

    • Project mention: Building an Email Assistant Application with Burr | dev.to | 2024-04-26

    Note that this uses simple OpenAI calls — you can replace this with Langchain, LlamaIndex, Hamilton (or something else) if you prefer more abstraction, and delegate to whatever LLM you like to use. And, you should probably use something a little more concrete (E.G. instructor) to guarantee output shape.

  • Deep_Learning_Machine_Learning_Stock

    Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

    • Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10

  • hopsworks

    Hopsworks - Data-Intensive AI platform with a Feature Store

  • 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.

  • functime

    Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

    • Project mention: functime: NEW Data - star count:616.0 | /r/algoprojects | 2023-11-08

  • tsfel

    An intuitive library to extract features from time series.

  • intelligent-trading-bot

    Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

    • Project mention: TimeGPT-1 | news.ycombinator.com | 2023-10-13

    I agree that the conventional (numeric) forecasting can hardly benefit from the newest approaches like transformers and LLMs. I made such a conclusion while working on the intelligent trading bot [0] by experimenting with many ML algorithms. Yet, there exist some cases where transformers might provide significant advantages. They could be useful where the (numeric) forecasting is augmented with discrete event analysis and where sequences of events are important. Another use case is where certain patterns are important like those detected in technical analysis. Yet, for these cases much more data is needed.

    [0] https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

  • evalml

    EvalML is an AutoML library written in python.

  • temporian

    Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

    • Project mention: Temporian: Google's Python package for time series preprocessing | news.ycombinator.com | 2024-02-13

  • deltapy

    DeltaPy - Tabular Data Augmentation (by @firmai)

  • Hyperactive

    An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

    • Project mention: Hyperactive Version 4.5 Released | news.ycombinator.com | 2023-08-27

  • serverless-ml-course

    Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

  • tsflex

    Flexible time series feature extraction & processing

  • mistql

    A query / expression language for performing computations on JSON-like structures. Tuned for clientside ML feature extraction.

  • hrv-analysis

    Package for Heart Rate Variability analysis in Python

  • SaaSHub

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

feature-engineering related posts

Index

What are some of the best open-source feature-engineering projects? This list will help you:

Project Stars
1 nni 13,742
2 featuretools 7,022
3 mljar-supervised 2,929
4 metarank 1,985
5 feathr 1,928
6 SGX-Full-OrderBook-Tick-Data-Trading-Strategy 1,749
7 featureform 1,674
8 OpenMLDB 1,550
9 hamilton 1,312
10 Deep_Learning_Machine_Learning_Stock 1,148
11 hopsworks 1,074
12 NVTabular 1,006
13 functime 891
14 tsfel 855
15 intelligent-trading-bot 737
16 evalml 712
17 temporian 624
18 deltapy 527
19 Hyperactive 490
20 serverless-ml-course 483
21 tsflex 361
22 mistql 345
23 hrv-analysis 342

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