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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
Wavelet scattering transforms in Python with GPU acceleration
Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
End-to-end learning on complex multi-edge graphs with latent-graph convolutional networks.
Graph Convolution with Low-rank Learnable Local Filters (ICLR 2021)
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
Implementation of “LatentGNN: Learning Efficient Non-local Relations for Visual Recognition”(ICML 2019)
Official PyTorch Implementation of Image Generation from Layout - CVPR 2019
Pytorch implementation of paper : Image Inpainting with Learnable Bidirectional Attention Map (ICCV, 2019)
This repository includes the code release of the NeurIPS 2019 paper titled "Learning Macroscopic Brain Connectomes via Group-Sparse Factorization". It maps structural brain connectomes for living human brains.
Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"
Scripts for the preprocessing of LIDC-IDRI data
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
Light-Weight RefineNet for Real-Time Semantic Segmentation
Code for visualizing the loss landscape of neural nets
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Unofficial implementation of LSQ-Net, a neural network quantization framework
The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
ICCV 2019
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.