Wang Bomin's repositories
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
awesome-point-cloud-processing
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
awesome-visual-representation-learning-with-transformers
Awesome Transformers (self-attention) in Computer Vision
bayesianize
Bayesianize: A Bayesian neural network wrapper in pytorch
CAT
Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
data-generation
Repository for code from "Generating Synthetic Labeled Data from Existing Anatomical Models: An Example with Echocardiography Segmentation"
DigiPathoImageAnalysis
List of academic institutes/companies working on computer-based digital pathology image analysis
Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
eeg-gcnn
Code to reproduce results reported in the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
FRCL
Functional Regularisation for Continual Learning with Gaussian Processes
hessian
hessian in pytorch
ICLR2021-OpenReviewData
Crawl & visualize ICLR papers and reviews.
lie-transformer-pytorch
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
MeshSegNet
PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.
mGRN
Memory-Gated Recurrent Networks (AAAI 2021)
NeurIPS2020
Image/Video Manipulation; Continual Learning; Paper with Code
PRGNN_fMRI
Pytorch implementation of pooling-regularized GNN (PRGNN) for fMRI analysis. https://arxiv.org/pdf/2007.14589.pdf
pytorch_fnet
Three dimensional cross-modal image inference
Reconstructing-Perceptive-Images-from-Brain-Activity-by-Shape-Semantic-GAN
The codes of paper: "Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN". This demo takes the published fMRI data "69-digits" as inputs.
seqMultiTaskRNN
sequential learning in orthogonal subspaces
SUGAR
Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""