SUPPA: Fast quantification of splicing and differential splicing

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

Reformer, the efficient Transformer, in Pytorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

Companion repo for ExAC paper, 2015

Python pipeline and Javascript scatter plot library for single-cell datasets, http://cellbrowser.rtfd.org

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…

Miscellaneous collection of Python and R scripts for processing Iso-Seq data

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

Structural variation caller using third generation sequencing