huxiaoti

huxiaoti's Stars

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.5k1542703.2k

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.9k1505262.5k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k971812k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k56701.2k

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python3k1771693

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.3k32267266

• whai362/PVT

  Official implementation of PVT series

  Language:Python1.8k23111247

• taynaud/python-louvain

  Louvain Community Detection

  Language:Python9762378199

• clcarwin/focal_loss_pytorch

  A PyTorch Implementation of Focal Loss.

  Language:Python9721214226

• ToaHartor/GI-cutscenes

  A command line program playing with the cutscenes files (USM) from Genshin Impact.

  Language:C#6922213679

• sacdallago/bio_embeddings

  Get protein embeddings from protein sequences

  Language:HTML4741521367

• yatengLG/Focal-Loss-Pytorch

  全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

  Language:Jupyter Notebook465519116

• bknyaz/graph_attention_pool

  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

  Language:Jupyter Notebook2839548

• JinheonBaek/RGCN

  Pytorch implementation of a RGCN Link Prediction Model

  Language:Python24531341

• DengPingFan/Polyp-PVT

  Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

  Language:Python20971545

• plemeri/UACANet

  Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

  Language:Python15231645

• navinlabcode/CellTrek

  Language:R11334520

• samsledje/D-SCRIPT

  A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions

  Language:Jupyter Notebook9165718

• berlincho/RGCN-pytorch

  Pytorch implementation of Relational GCN for node classification

  Language:Python702414

• shangll123/SpatialPCA

  Spatially aware dimension reduction for spatial transcriptomics.

  Language:R4331710

• jmzeng1314/METABRIC

  Language:HTML421019

• sameerkhurana10/DSOL_rv0.2

  deep protein solubility prediction

  Language:Python3531014

• mjDelta/relation-gcn-pytorch

  pytorch implementaion of Relational Graph Convolutional Networks

  Language:Python34258

• njpipeorgan/L1000-bayesian

  L1000 peak deconvolution based on Bayesian analysis

  Language:Mathematica25407

• priyanka8993/EMT_score_calculation

  Language:R203611

• yhchen1123/CoGO

  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure

  Language:Python16123

• huxiaoti/deeptrio

  Language:Python14226

• lizhou21/EA-WGCN

  A Weighted GCN with Logical Adjacency Matrix for Relation Extraction (ECAI2020)

  Language:Python14111

• seokhokang/graphvae_compress

  Compressed Graph Representation for Scalable Molecular Graph Generation

  Language:Python11103

• jihoonlee0/SARS-CoV-2_metab

  Language:Jupyter Notebook5200