jiazhao97

CS-CORE

R package for CS-CORE, a statistical method for cell-type-specific co-expression inference from single cell RNA-sequencing data

SLAT

Spatial-Linked Alignment Tool

STitch3D

Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices

PALM

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Decentralized-Proximal-Algorithm-with-Variance-Reduction

This is the code used for the paper "PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction", prepint.

spatial-datasets

overview of spatial datasets

dance

DANCE: a deep learning library and benchmark platform for single-cell analysis

CTSV

Identification of cell-type-specific spatially variable genes accounting for excess zeros

HSS

The R package HSS implements two methods LD score regression and XPASS to estimate heritability only using summary statistics data.

BibWord

Microsoft Word and Bibliography Styles extender.

Graph-InfoClust-GIC

[PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

relative_predictive_coding

Project page for paper Self-supervised Representation Learning with Relative Predictive Coding

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

scib

Benchmarking analysis of data integration tools

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

ddim

Denoising Diffusion Implicit Models

scanpy

Single-cell analysis in Python. Scales to >1M cells.

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

Conditional-GAN

realization of cDCGAN ,acGAN ,pix2pix and gaugan by tensorflow

DGLSB

Deep Generative Learning via Schrödinger Bridge

squidpy

Spatial Single Cell Analysis in Python

pygcn

Graph Convolutional Networks in PyTorch

DSTG

Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

CellDART

domain adaptation of spatial and single-cell transcriptome

scGCN

scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics

FIRM

Flexible Integration of single-cell RNA-sequencing data for large-scale Multi-tissue cell atlas datasets

Portal

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets