attention_to_gif VS CrabNet

Compare attention_to_gif vs CrabNet and see what are their differences.

attention_to_gif

Visualize transition of attention weights across layers in a Transformer as a GIF (by valayDave)
Transformer self-attention Visualisation Pytorch
Source Code
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CrabNet

Predict materials properties using only the composition information! (by anthony-wang)
predict-materials-properties neural-networks materials-informatics Machine Learning Pytorch materials-science materials-screening scikit-learn attention-mechanism attention self-attention Transformer
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doi.org
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attention_to_gif CrabNet
1 1
1 81
- -
4.4 3.7
about 3 years ago about 1 year ago
Python Python
MIT License MIT License
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attention_to_gif

Posts with mentions or reviews of attention_to_gif. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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

how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

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

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

hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.

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

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

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

attention_to_gif vs bertviz CrabNet vs Invariant-Attention attention_to_gif vs how-do-vits-work CrabNet vs query-selector CrabNet vs GAT CrabNet vs hummingbird CrabNet vs mat2vec CrabNet vs Perceiver CrabNet vs ViTGAN