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Name: gaosde
Type: User
Company: Zhejiang University
Name: gaosde
Type: User
Company: Zhejiang University
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository
Building a Bayesian deep learning classifier
PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
Class-Incremental Learning via Knowledge Amalgamation - ECML PKDD 2022
(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Addressing Failure Prediction by Learning Model Confidence
Code for the paper "Contrastive Clustering" (AAAI 2021)
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
This repository contains implementations and illustrative code to accompany DeepMind publications
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
π Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.βββ
Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).
GroupMixAttention and GroupMixFormer
play a joke on myself
η¨εΊεε»Άε―Ώζε | A programmer's guide to live longer
Reproduced Code for Image Forgery Detection papers.
the code for interspeech2021 submission
(CVPR2022) Official PyTorch Implementation of KDEP. Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
A Knowledge Distillation Toolbox. The official implementation of https://arxiv.org/abs/2203.08679
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
Approximative algorithms for computing sparse Wasserstein-2 multi-marginal optimal transport plans and associated free support barycenters.
Model Fusion via Optimal Transport, NeurIPS 2020
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
PyCIL: A Python Toolbox for Class-Incremental Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.