CLuKing's Stars
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
ZJUBCA/roadmap
Roadmap of learning blockchain technology and business knowledge summarized by ZJUBCA(浙大区块链协会总结的区块链知识学习路线)
forezp/SpringCloudLearning
《史上最简单的Spring Cloud教程源码》
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
LinMoQC/Memory-Blog
This is a personal blogging platform built with React, TypeScript, and Spring Boot.
liusCoding/springcloud-2020
SpringCloud Hoxton + SpringCloud alibaba 双剑合并,微力无穷,更新完毕,欢迎fork!!!
lemonhu/stock-knowledge-graph
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
bdy9527/SDCN
Structural Deep Clustering Network
jp-guo/gm-transformer
[ICASSP 2024] GMTR: Graph Matching Transformers
gaopengcuhk/SMCA-DETR
xuchengsheng/spring-reading
涵盖了 Spring 框架的核心概念和关键功能,包括控制反转(IOC)容器的使用,面向切面编程(AOP)的原理与实践,事务管理的方式与实现,Spring MVC 的流程与控制器工作机制,以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外,它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程,以及对 Spring 源码的编程风格与设计模式的深入探讨。
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
Tiger101010/DAEGC
PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf
ManiadisG/DivClust
Pytorch implementation of our CVPR 23' paper DivClust: Controlling Diversity in Deep Clustering.
sw-gong/MoNet
Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
benedekrozemberczki/SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Deepayan137/DeepClustering
A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
addtt/ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
TrustAGI-Lab/ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
JiaxuanYou/graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
KevinOfCathay/DDPM-demo
pytorch ddpm demo
nadavbh12/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
hyzhang98/EGAE
Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.
mli/paper-reading
深度学习经典、新论文逐段精读
XifengGuo/DSC-Net
A Pytorch implementation of DSC-Net (Deep subspace clustering networks, NIPS17)
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
siqim/Machine-Learning-with-Graphs
bojone/vae
a simple vae and cvae from keras