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Img2Mol
phc-gnn
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevertdata2text-bioleaflets
Biomedical Data-to-Text Generation via Fine-Tuning TransformerspKAI
pKAI: a fast and interpretable deep learning approach to accurate electrostatics-driven pKa predictionneuraldecipher
Implementation of the paper "Neuraldecipher - Reverse-engineering extended-connectivity fingerprints (ECFPs) to their molecular structures" by Tuan Le, Robin Winter, Frank Noé and Djork-Arné Cleverttopefind-public
Finding the pitfalls of deep learning predictors of interacting residues in antibodies ðŸ¦contrastive-reconstruction
Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.abfe-benchmark
pege
Protein Environment Graph Embeddingsabbert-cerebras
plant-triplet-net
molnet-geometric-lightning
MoleculeNet Benchmarks in Pytorch Lightning with Torch Geometircmtnngc_admet
grami-example
Example project showing how to use GraMihbond-benchmark
Adding H-donor-acceptor bonds to GNNsmlr-challenges-frankenbody
Bayer's MLR antibody data modelling challengebeehive
Side project for helping beekeepers. Segment and classify honeycomb pictures to find out how many larvae, eggs, nectar, etc are in the brood.XAI4Embeddings
openslide-python-feedstock
A conda-smithy repository for openslide-python.Love Open Source and this site? Check out how you can help us