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媒体计算实践作业：图像——文本跨模态搜索

actions-wozaixiaoyuanpuncher

我在校园自动打卡程序：WoZaiXiaoYuanPuncher 的 Github Action 版。

awesome-dataset-distillation

Awesome Dataset Distillation Papers

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-llms-in-graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

byb_master-thesis

cagnet

carnet-v1.0

CarNet is a fast pavement crack detector which achieves excellent accuracy.

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

cirh

Source codes of thie paper "Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-modal Retrieval"

cisip-fire

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

cross-modal-remote-sensing-image-sound-retrieval

cross-modal-retrieval

Cross-Modal-Real-valuded-Retrieval

cross-modal_retrieval_tutorial

The Paper List of Image-Text Matching for Preliminary Insight.

crossmodalretrieval

A demo of a cross-modal retrieval system

deepcrack

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

deeplearning_lhy21_notes

深度学习 李宏毅 2021 学习笔记

dhrl

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

g-fairattack

Open-source Code for "Adversarial Attacks on Fairness of Graph Neural Networks"

graph-classification-baseline

A framework of graph classification baselines which including TUDataset Loader, GNN models and visualization.

graph-llm

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

grid

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning

hmah

The source code of "Teacher-Student Learning: Efficient Hierarchical Message Aggregation Hashing for Cross-Modal Retrieval"

lagnh

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval (MM 2021)

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

orthohash

Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

pgch

plfedcmh

This is a simplified demo for the paper: Prototype-Based Layered Federated Cross-Modal Hashing