SadOrHappy1

SadOrHappy1's Stars

• Jack24658735/FedLGT

  [AAAI 2024] Official Implementation of Language-Guided Transformer for Federated Multi-Label Classification

  Language:Python122

• HaokunChen245/FedDAT

  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

  Language:Python26

• Rebzzel/PicPrompt

  Fast, simple and lightweight image viewer.

  Language:C#61

• zdy1988/Zhai.PictureView

  A beautiful and practical picture browser...

  Language:C#203

• ChiNoel-osu/FolderThumbnailExplorer

  Better desktop image folder preview experience.

  Language:C#391

• HeBianGu/WPF-ImagePlayer

  WPF开发的图片浏览和播放控件

  Language:C#1512

• ldqk/ImageSearch

  基于.NET8的本地硬盘千万级图库以图搜图案例Demo和图片exif信息移除小工具分享

  Language:C#76985

• TsingZ0/PFLlib

  37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

  Language:Python1.4k283

• TsingZ0/FedTGP

  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

  Language:Python292

• TsingZ0/HtFLlib

  Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

  Language:Python933

• LipingYi/FedGH

  FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)

  Language:Python132

• Starlien95/GraphPrompt

  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

  Language:Python13413

• vanoracai/MixupForGraph

  Code for paper "Mixup for Node and Graph Classification", WWW 2021

  Language:Python444

• Leejiaxing/GAMT

  Multi-scale Self-attention Mixup for Graph Classification

  Language:Python4

• zhumeiqiBUPT/AM-GCN

  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

  Language:Python21746

• ahxt/g-mixup

  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification

  Language:Python907

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.7k457

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.7k4.5k

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k687

• dragen1860/GCN-PyTorch

  Graph Convolution Network for PyTorch

  Language:Python38686

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML31.5k10.6k

• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML17.9k5.9k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• Code-Deer/KNN-Fall-Detection

  基于Mediapipe框架检测人体3D骨架，KNN算法识别人体是否跌倒。

  Language:Python4410