HelloWorldLTY

scEval

Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.

MuSe-GNN

[NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"

scELMo

Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis

AWGAN

Codes for paper: AWGAN: A Powerful Batch Effect Removal Model for scRNA-seq Data

CVQVAE

Codes for paper: CVQVAE: A REPRESENTATION LEARNING METHOD FOR MULTI-OMICS SINGLE CELL DATA INTEGRATION

Deepsynergy_pytorch

A pytorch and lightining version of Deepsynergy

BAITSAO

A foundation model for drug synergy analysis

Geneverse

This is the official code repo for the paper: Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.

Awesome-DNA-Sequence-Modelling

This is a repo for papers/projects focusing on DNA sequence modelling

MOK

A mixture of experts version of KANs

Open-problems-for-single-cell-2022-Silver-medal-solution

scLLMExplorer

Codes for the "AI Foundation Models" course project

transformGamPoi-Paper

HelloWorldLTY.github.io

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

APPFL

Advanced Privacy-Preserving Federated Learning framework

awesome-deep-learning-single-cell-papers

update single cell papers

dance

DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

ENVI

GLUE

Graph-linked unified embedding for single-cell multi-omics data integration

GNN

Pytorch Geometric Tutorials

guidance

A guidance language for controlling large language models.

Myblog

My own understanding about DL+compbio

pytorch_geometric

Graph Neural Network Library for PyTorch

sctransform

R package for modeling single cell UMI expression data using regularized negative binomial regression

scvi-tools

Deep probabilistic analysis of single-cell omics data

squidpy

Spatial Single Cell Analysis in Python

stg

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Tangram

Spatial alignment of single cell transcriptomic data.