dlwbm123 Goto Github PK
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
A GPipe implementation in PyTorch
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Tool for robust segmentation of 104 important anatomical structures in CT images
Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning
The collection of training tricks of binarized neural networks.
Transfer Learning Library for Domain Adaptation and Finetune.
A collection of papers about Transformer in the field of medical image analysis.
[ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
Projection techniques to update the truncated SVD of evolving matrices with applications
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).
Tutorial on Docker automated builds. You can find the original article is in our Medium blog https://medium.com/pharos-production/set-up-automated-builds-using-github-and-docker-hub-12c3e0f18eba . https://pharosproduction.com
Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019
The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"
The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
unet for image segmentation
Paper and pytorch Implement of UNet-related model.
A concise code for training and evaluating Unet using tensorflow+keras
Unsupervised Adversarial Image Reconstruction (UNIR)
Code for the paper "Universal Invariant and Equivariant Graph Neural Networks" (NeurIPS 2019)
This repository tries to provide unsupervised deep learning models with Pytorch
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava
Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
An implementation of Variational Continual Learning (Nguyen et al., 2018) for the Advanced Machine Learning reproducibility challenge (University of Oxford)
Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)
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.