CrabNet VS attention_to_gif

Compare CrabNet vs attention_to_gif and see what are their differences.

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CrabNet attention_to_gif
1 1
96 3
- -
3.7 4.4
almost 2 years ago almost 4 years ago
Python Python
MIT License MIT License
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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.

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.

What are some alternatives?

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

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

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

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.

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

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

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

SAITS - The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

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

Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention

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