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The official implementation of our ACM MM 2021 paper "AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch".
Source code for paper "Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval".
The source code for Adaptive Kernel Graph Neural Network at AAAI2022
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Repository for benchmarking graph neural networks
This repo holds the Pytorch codes and models for the BTH framework presented on CVPR 2021
[WWW 2023] Official repository for "CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval"
source code for paper "Unsupervised Hashing with Contrastive Information Bottleneck" published in IJCAI 2021
Source code of our TOMM 2019 paper "CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning".
[AAAI 2023] Contrastive Masked Autoencoders for Self-Supervised Video Hashing
The baselines of cross-modal hashing retrieval.
Cross-Modal-Real-valuded-Retrieval
The Paper List of Cross-Modal Matching for Preliminary Insight.
source code for "Deep adversarial discrete hashing for cross-modal retrieval"
This is the official code of the paper "Differentiable Cross Modal Hashing via Multimodal Transformers"
NeurIPS 2020, Debiased Contrastive Learning
PyTorch implementation for paper "Deep Cross-Modal Hashing"
source code for paper "Deep Cross-Modal Hashing"
Deep learning cross modal hashing in PyTorch
Deeper insights into graph convolutional networks for semi-supervised learning
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
An Open-Source Package for Deep Learning to Hash (DeepHash)
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
This is a PyTorch implementation of DGCN, a Dual Graph Convolutional Neural Network for graph-based semi-supervised classification.
Source code for paper "Deep Hashing Network for Efficient Similarity Retrieval" on AAAI-2016
[CIKM2022] Deep Self-Adaptive Hashing for Image Retrieval
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.