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1. Deep-Learning-in-Spatial-Transcriptomics-Analysis Deep-Learning-in-Spatial-Transcriptomics-Analysis Public

   This repository will host a (continously updated) list of various deep learning methods used in different stages of spatial transcriptomics analysis.

   33 2

2. ACTIVA ACTIVA Public

   The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

   Python 11 6

3. ACTINN-PyTorch ACTINN-PyTorch Public

   An easy-to-use PyTorch implementation of Automatic Cell-Types Identification of single-cell RNA sequencing using Neural Networks (ACTINN)

   Python 6 4

4. scANNA scANNA Public

   The main repository hosting the implementation of scANNA (single-cell ANalysis using Neural Attention)

   Python 4 1

5. Tutorials Tutorials Public

   This Repository will host basic Tutorial for getting started with SingleCell Analysis in Python

   HTML 5 1

6. N-ACT N-ACT Public

   The public repository for N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification

   Python 2 1