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Name: Wang Bomin
Type: User
Company: Fudan University
Bio: Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Location: Shanghai, China
Name: Wang Bomin
Type: User
Company: Fudan University
Bio: Hi I am Wang Bomin, a PhD student of Fudan University,Shanghai, CHINA. Majored in Data Science.
Location: Shanghai, China
Simulated a geo-distributed recommendation system using a decentralized SVD algorithm
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
:package: The code repository for the paper: "Differentiable Manifold Reconstruction for Point Cloud Denoising"
Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
DomainBed is a suite to test domain generalization algorithms
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019)
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Deep Voxel-Graph Convolution Network
Reconstructing cropped data in 3D diffusion MRI images using variational autoencoders
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
This repository is for the paper "Synthesis of Realistic ECG using Generative Adversarial Networks".
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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.
TensorFlow tutorials and best practices.
PyTorch Implementation of EBP - CVPR 2019
ELFI - Engine for Likelihood-Free Inference
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation, AAAI, 2019
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", 2019
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
BreastGAN, first experiment.
Visually Explainable VAE
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.