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adi-openmp-example

bulk2space

a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

cellmixs

A cellspecific mixing score to evaluate group-/batch-specific bias in scRNA seq datasets

center-loss.pytorch

center loss for face recognition

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

download_tcga_gdc

Travel the TCGA dir, and run gdc-client to download specific data

example-jupyter-book

An example Jupyter Book project integrated with Read the Docs

fdm_lr91_2d

fvm

gene-graph-conv

Towards Gene Expression Convolutions using Gene Interaction Graphs

lr91-2017-09-05

2017-9-5

lrd2000-model

0D and 2D code(OpenMP support)

multimodalautoencoder

Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"

past

PAST: a Prior-based self-Attention method for Spatial Transcriptomics

pycox

Survival analysis with PyTorch

scadapt

self-corrected-retrosynthetic-reaction-predictor

A Robust Self-Corrected Retrosynthetic Reaction Predictor using Neural Transformer Models

stabox

Interactive analysis and visualization of spatial transcriptome GUI program

stagate

Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics

staligner

STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.

staligner_tutorials

tdimpute

imputing missing gene expression data

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习