routing-transformer VS tab-transformer-pytorch

Compare routing-transformer vs tab-transformer-pytorch and see what are their differences.

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routing-transformer tab-transformer-pytorch
1 1
288 818
1.4% -
0.0 4.5
over 3 years ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

routing-transformer

Posts with mentions or reviews of routing-transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-10.
  • Will Transformers Take over Artificial Intelligence?
    5 projects | news.ycombinator.com | 10 Mar 2022
    I would recommend Routing Transformer https://github.com/lucidrains/routing-transformer but the real truth is nothing beats full attention. Luckily, someone recently figured out how to get past the memory bottleneck. https://github.com/lucidrains/memory-efficient-attention-pyt...

tab-transformer-pytorch

Posts with mentions or reviews of tab-transformer-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-07.

What are some alternatives?

When comparing routing-transformer and tab-transformer-pytorch you can also consider the following projects:

memory-efficient-attention-pyt

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

conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers

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

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

HTM-pytorch - Implementation of Hierarchical Transformer Memory (HTM) for Pytorch

Compact-Transformers - Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

perceiver-pytorch - Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

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Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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