CrabNet VS query-selector

Compare CrabNet vs query-selector and see what are their differences.

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CrabNet query-selector
1 1
90 75
- -
3.7 3.7
over 1 year ago about 1 year ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

query-selector

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

What are some alternatives?

When comparing CrabNet and query-selector you can also consider the following projects:

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

neural_prophet - NeuralProphet: A simple forecasting package

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?"

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

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

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.

gluonts - Probabilistic time series modeling in Python

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

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

sktime - A unified framework for machine learning with time series

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