gyNancy's Stars
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
CompVis/stable-diffusion
A latent text-to-image diffusion model
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
adamian98/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
openai/consistency_models
Official repo for consistency models.
Belval/TextRecognitionDataGenerator
A synthetic data generator for text recognition
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Harry24k/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks [torchattacks]
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
kimiyoung/planetoid
Semi-supervised learning with graph embeddings
LYuhang/GNN_Review
GNN综述阅读报告
PetarV-/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
bahjat-kawar/ddrm
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
MadryLab/photoguard
Raising the Cost of Malicious AI-Powered Image Editing
THUDM/GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
wielandbrendel/bag-of-local-features-models
Pretrained bag-of-local-features neural networks
Harry24k/PGD-pytorch
A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
OmidPoursaeed/Generative_Adversarial_Perturbations
Generative Adversarial Perturbations (CVPR 2018)
Hanjun-Dai/graph_adversarial_attack
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
qitianwu/GraphOOD-EERM
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
yfzhang114/AdaNPC
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
capybaralet/REx_code_release
google-research/adamatch
Sxela/guided-diffusion-sxela
openai guided diffusion tweaks
ethz-spylab/diffusion_denoised_smoothing
Certified robustness "for free" using off-the-shelf diffusion models and classifiers
cmavro/awesome-unsupervised-gnns
List of unsupervised (self-supervised) graph neural network (GNN) methods.