bayer-science-for-a-better-life Goto Github PK

abbert-cerebras

abfe-benchmark

beehive

Side project for helping beekeepers. Segment and classify honeycomb pictures to find out how many larvae, eggs, nectar, etc are in the brood.

bioconda-recipes

Conda recipes for the bioconda channel.

cerebras-modelzoo-bayer

Fork of cerebras' model zoo to include Bayer-specific changes

colabfold

Making Protein folding accessible to all!

context-matters

It does.

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.

data2text-bioleaflets

Biomedical Data-to-Text Generation via Fine-Tuning Transformers

eh-benchmark

Boosting GNN performance with lightweight QM features

grami-example

Example project showing how to use GraMi

graph-attribution

Codebase for Evaluating Attribution for Graph Neural Networks.

hbond-benchmark

Adding H-donor-acceptor bonds to GNNs

histoqc

HistoQC is an open-source quality control tool for digital pathology slides

img2mol

mlr-challenges-frankenbody

Bayer's MLR antibody data modelling challenge

molnet-geometric-lightning

MoleculeNet Benchmarks in Pytorch Lightning with Torch Geometirc

mtnngc_admet

mtpcm

Multi-task Proteochemometric Modelling

neuraldecipher

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 Clevert

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

openjdk-feedstock

A conda-smithy repository for openjdk.

openslide-feedstock

A conda-smithy repository for openslide.

openslide-python-feedstock

A conda-smithy repository for openslide-python.

pege

Protein Environment Graph Embeddings

phc-gnn

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

pixman-feedstock

A conda-smithy repository for pixman.

pkai

pKAI: a fast and interpretable deep learning approach to accurate electrostatics-driven pKa prediction

plant-triplet-net

prettymol

Charming molecules