CrabNet
query-selector
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 |
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.
CrabNet
-
Artificial intelligence can revolutionise science
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
What are some alternatives?
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