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Top 23 Python feature-engineering Projects
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tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Project mention: Evolve Your Machine Learning: Automate the Process of Model Selection through TPOT. | dev.to | 2024-07-06Resources: TPOT Documentation Genetic Programming
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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: Supertree β interactive visualization of decision trees in Python | news.ycombinator.com | 2024-08-27We would like to keep package sustainable. Earlier, we've created package for AutoML which is MIT license (https://github.com/mljar/mljar-supervised), and it is very hard to monetise it, and you need to have funds to keep package maintained and work on it.
Regarding purchasing, we just don't have time create landing page with buy button :) we will add it soon. The package cost will be 499 USD/yearly. We already have few finance companies interested.
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intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Project mention: Show HN: High-Frequency Trading and Market-Making Backtesting Tool with Examples | news.ycombinator.com | 2024-06-21You could try a tool for trade signal generation based on machine learning and feature engineering:
https://github.com/asavinov/intelligent-trading-bot
It trains ML models based on historic data and custom features and then uses them to generate a kind of intelligent indicator between -1 and +1. This intelligent indicator is then used to make trade decisions. Frequency is a parameter and can very from 1 minute for crypto trading to 1 day for normal exchanges.
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functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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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.
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EvalML Hyperparameter tuning and evaluating ML models are integral aspects of ML product development. EvalML is an AutoML library that aims to ease the process of building, optimizing, and evaluating ML models by helping engineers avoid manual training and tuning of models. It also includes data quality checks and cross-validation.
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temporian
Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€
Project mention: Temporian: Google's Python package for time series preprocessing | news.ycombinator.com | 2024-02-13 -
Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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upgini
Data search & enrichment library for Machine Learning β Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
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pixeltable
Pixeltable β AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Project mention: Pixeltable: Store, transform, index, and iterate on data for ML | news.ycombinator.com | 2024-12-17 -
CAAFE
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, MΓΌller, and Hutter (2023).
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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.
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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
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Project mention: Volga β Open-Source Feature Engine for Real-Time AI | news.ycombinator.com | 2024-04-08
Volga is an open-source feature calculation engine for real-time ML systems aimed to remove dependency on complex Spark/Flink setups and managed feature platforms like Tecton.ai, Fennel.ai, FeatureForm, Chalk.ai
Github - https://github.com/anovv/volga
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dpq
dpq is an open-source python library that makes prompt-based data transformations and feature engineering easy
Project mention: Show HN: Dpq β a small Python library to process data using LLMs | news.ycombinator.com | 2024-04-12 -
HDB_Resale_Prices
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
Python feature-engineering discussion
Python feature-engineering related posts
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Show HN: Dataclr β Python library simplifying feature selection for ML
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Dataclr β New feature selection algorithm for ML achieving SOTA results
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Temporian: Google's Python package for time series preprocessing
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temporian: NEW Data - star count:283.0
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temporian: NEW Data - star count:283.0
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temporian: NEW Data - star count:283.0
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temporian: NEW Data - star count:283.0
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Index
What are some of the best open-source feature-engineering projects in Python? This list will help you:
# | Project | Stars |
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1 | tpot | 9,806 |
2 | featuretools | 7,336 |
3 | mljar-supervised | 3,094 |
4 | intelligent-trading-bot | 1,174 |
5 | functime | 1,066 |
6 | NVTabular | 1,064 |
7 | tsfel | 960 |
8 | evalml | 799 |
9 | temporian | 685 |
10 | Hyperactive | 515 |
11 | tsflex | 408 |
12 | hrv-analysis | 399 |
13 | upgini | 322 |
14 | feathub | 317 |
15 | pixeltable | 141 |
16 | CAAFE | 140 |
17 | NitroFE | 106 |
18 | prosto | 91 |
19 | bytehub | 58 |
20 | ds2 | 48 |
21 | volga | 40 |
22 | dpq | 25 |
23 | HDB_Resale_Prices | 23 |