xinshao-wang
Robust, Fundamental, Transparent and Interpretable Deep Learning for Molecules, Multiomics
Zenith Ai and Neochromosome and OpentronsLondon
Pinned Repositories
animal-matting
Github repository for the paper End-to-end Animal Image Matting
bio_embeddings
Get protein embeddings from protein sequences
bioicons
A library of free open source icons for science illustrations in biology and chemistry
chemprop
Message Passing Neural Networks for Molecule Property Prediction
DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
FgSegNet
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
FgSegNet_v2
My additions to the state of the art foreground extraction method by Long Ang LIM and Hacer YALIM KELES. The original paper can be found at the link below.
genome-transformer
Pretrained efficient transformers on genomes -- WIP
perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
xinshao-wang's Repositories
xinshao-wang/perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
xinshao-wang/animal-matting
Github repository for the paper End-to-end Animal Image Matting
xinshao-wang/bio_embeddings
Get protein embeddings from protein sequences
xinshao-wang/bioicons
A library of free open source icons for science illustrations in biology and chemistry
xinshao-wang/chemprop
Message Passing Neural Networks for Molecule Property Prediction
xinshao-wang/DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
xinshao-wang/FgSegNet
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
xinshao-wang/FgSegNet_v2
My additions to the state of the art foreground extraction method by Long Ang LIM and Hacer YALIM KELES. The original paper can be found at the link below.
xinshao-wang/genome-transformer
Pretrained efficient transformers on genomes -- WIP
xinshao-wang/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
xinshao-wang/PyTorch-UNet
PyTorch Implementation for Segmentation and Saliency Prediction
xinshao-wang/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
xinshao-wang/trimap_generator
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
xinshao-wang/TrimNet
Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
xinshao-wang/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers