[P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • rtdl

    Discontinued Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

  • tab-transformer-pytorch

    Implementation of TabTransformer, attention network for tabular data, in Pytorch

  • Code for https://arxiv.org/abs/2012.06678 found: https://github.com/lucidrains/tab-transformer-pytorch

  • 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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  • Linear-Multihead-Attention

    Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

  • Code for https://arxiv.org/abs/2006.04768 found: https://github.com/kuixu/Linear-Multihead-Attention

  • tabnet

    PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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