Research on representation learning for molecular structures.
Broad interest in statistics, probabilistic modelling and optimal transport theory.
- Berlin
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08:18
(UTC +01:00) - https://tuanle618.github.io
- @tuanle618
Highlights
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Bayer-Group/eqgat
Bayer-Group/eqgat PublicResearch repository for the proposed equivariant graph attention network that operates on large biomolecules proposed by Le et al. (2022)
Python 19
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bayer-science-for-a-better-life/phc-gnn
bayer-science-for-a-better-life/phc-gnn PublicImplementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
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bayer-science-for-a-better-life/neuraldecipher
bayer-science-for-a-better-life/neuraldecipher PublicImplementation of the paper "Neuraldecipher - Reverse-engineering extended-connectivity fingerprints (ECFPs) to their molecular structures" by Tuan Le, Robin Winter, Frank Noé and Djork-Arné Clevert
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neural-net-random-art
neural-net-random-art PublicRepository for creating random abstract art using fully connected neural networks
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