CrabNet VS Perceiver

Compare CrabNet vs Perceiver and see what are their differences.

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CrabNet Perceiver
1 7
96 87
- -
3.7 2.6
almost 2 years ago almost 4 years 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.
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CrabNet

Posts with mentions or reviews of CrabNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-15.
  • Artificial intelligence can revolutionise science
    2 projects | news.ycombinator.com | 15 Sep 2023
    I don't know. As for "literature-based discovery," this project/paper sounded like a pretty big deal when it came out a few years ago: https://github.com/materialsintelligence/mat2vec . And I see this thing came out more recently: https://github.com/anthony-wang/CrabNet .

    Of course not all fields lend themselves as well to this as does materials science.

Perceiver

Posts with mentions or reviews of Perceiver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

What are some alternatives?

When comparing CrabNet and Perceiver you can also consider the following projects:

query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

deepmind-perceiver - My implementation of DeepMind's Perceiver

ProteinStructurePrediction - Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

mat2vec - Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

Fast-Transformer - An implementation of Additive Attention

ViTGAN - A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

GAT - Graph Attention Networks (https://arxiv.org/abs/1710.10903)

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

Invariant-Attention - An implementation of Invariant Point Attention from Alphafold 2

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

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