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The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.
Cellular Composition Prediction in Routine Histology Images
The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.
Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019
cell graph convolutional network
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
cvpr2020 source code
Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
The Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.
Simple reference implementation of GraphSAGE.
Hypergraph Neural Networks (AAAI 2019)
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
This repository contains the code for Instance Credibility Inference (ICI).
Code for 'Low-Shot Learning with Imprinted Weights'
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Segmentation for vertebra in MR images
Segmentation models with pretrained backbones. PyTorch.
Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"
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.