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mat2vec
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
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ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.
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CrabNet reviews and mentions
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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.
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anthony-wang/CrabNet is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of CrabNet is Python.
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