joreyyan Goto Github PK

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3dfasterrcnn_lungnoduledetector

3dgcn

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

adaptive_color_deconvolution

adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"

alphafold_pytorch

An implementation of the DeepMind's AlphaFold based on PyTorch for research

awesome-spider

爬虫集合

biggan-generator-pretrained-pytorch

Pytorch implementation of BigGAN Generator with pretrained weights

blog

The project in my blog.

blog-1

Source code to support some of my Blog entries

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-1

Caffe: a fast open framework for deep learning.

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

chandlerzuo.github.io

My blog.

ddpm-proteins

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

dlpacker

DLPacker

dpcn

This project is all the code used in the method in paper:TriangleConv:Deep Point Convolutional Network for Vector Object Recognition in Map Space(Not yet published)

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

fast-rcnn

Fast R-CNN

faster-rcnn-annotation

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn_pytorch

Faster RCNN with PyTorch

foldingnet

PyTorch reimplementation of FoldingNet

geoppi

ghost

ghost2

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsite

GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.