softbear's starred repositories
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
course-content
NMA Computational Neuroscience course
teachopencadd
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
in-silico-labeling
Code for In silico labeling: Predicting fluorescent labels in unlabeled images
DL4MolecularGraph
Literature of deep learning for graphs in Chemistry and Biology
docker-builds
:package: :whale: Dockerfiles and documentation on tools for public health bioinformatics
PoincareMaps
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.
MLSummerSchool_CCA19
Materials for the Mini Summer School in Machine Learning x Astro taught at CCA in Summer '19
fqsqueezer
FQSqueezer - FASTQ compressor based on k-mer statistics
quarantineAtHome
quarantine@Home