wewen1996's Stars
teslacool/UnifiedMolPretrain
Unified 2D and 3D Pre-Training of Molecular Representations
nakaizura/Source-Code-Notebook
关于一些经典论文源码的逐行中文笔记
rowanz/grover
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
lihan97/KPGT
codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
LARS-research/TabGNN
kathrinse/TabSurvey
Experiments on Tabular Data Models
Arwin-Yu/Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention
This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts
compbiolabucf/Drug-sensitivity-prediction
jiajunhua/floodsung-Deep-Learning-Papers-Reading-Roadmap
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
131250208/FunnyToys
放一些有趣的code
sunduanchen/Scissor
Scissor package
OSU-BMBL/scDEAL
Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
ZJUFanLab/scDeepSort
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
hosseinshn/MOLI
MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
ihollywhy/FactorGCN.PyTorch
Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20
genecell/single-cell-papers-with-code
Papers with code for single cell related papers
Oshlack/splatter
Simple simulation of single-cell RNA sequencing data
navinlabcode/CellTrek
QuKunLab/SpatialBenchmarking
bensteven2/CTC_project
CTC_project
liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
revaturelabs/biforce
Biforce is a project conducted by Revature to improve its business decisions via re-examination of existing metrics and investigation into new metrics that will increase value of company assets. The goal is to leverage all relevant technologies to automate the process of data analysis within the business intelligence life cycle conducted on different departments within the company. The objective is to implement efficient algorithms for data processing via tools available within the Hadoop ecosystem that will run on a physical and cloud cluster.
txWang/MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
zhouyulab/ncov
SARS-CoV-2 transcriptome
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
DEIB-GECO/Docker_VariantHunter
Rohit-Satyam/covidium
## Processed data for covidium
nextstrain/ncov
Nextstrain build for novel coronavirus SARS-CoV-2