Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Vaex | 8,161 | 2 | 29 | 24 days ago | 69 | July 21, 2023 | 508 | mit | Python | |
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 | ||||||||||
Autogluon | 6,976 | 14 | 8 days ago | 1,168 | December 10, 2023 | 299 | apache-2.0 | Python | ||
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data | ||||||||||
Flaml | 3,500 | 11 | 2 months ago | 92 | October 02, 2023 | 210 | mit | Jupyter Notebook | ||
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. | ||||||||||
Tabnet | 2,386 | 11 | 3 months ago | 19 | July 23, 2023 | 57 | mit | Python | ||
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf | ||||||||||
Lightning Flash | 1,727 | 3 | 6 months ago | 40 | May 11, 2022 | 30 | apache-2.0 | Python | ||
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains | ||||||||||
Dataprofiler | 1,310 | 3 | 2 months ago | 53 | November 14, 2023 | 56 | apache-2.0 | Python | ||
What's in your data? Extract schema, statistics and entities from datasets | ||||||||||
Ydata Synthetic | 1,201 | 2 | 2 months ago | 31 | December 08, 2023 | 46 | mit | Jupyter Notebook | ||
Synthetic data generators for tabular and time-series data | ||||||||||
Ktrain | 1,188 | 1 | 2 | 4 months ago | 205 | November 18, 2023 | 1 | apache-2.0 | Jupyter Notebook | |
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply | ||||||||||
Pytorch_tabular | 1,138 | 2 | 2 months ago | 11 | September 01, 2021 | 7 | mit | Python | ||
A standard framework for modelling Deep Learning Models for tabular data | ||||||||||
Awesome Fl | 1,103 | 2 months ago | cc-by-sa-4.0 | Python | ||||||
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops) |