guoxiaojun1999's Stars
Lionelsy/Conference-Accepted-Paper-List
Some Conferences' accepted paper lists (including AI, ML, Robotic)
microsoft/GraphFormers
graphdeeplearning/graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
kingoflolz/mesh-transformer-jax
Model parallel transformers in JAX and Haiku
zlpure/awesome-graph-representation-learning
A curated list for awesome graph representation learning resources.
ContrastiveSR/Contrastive_Learning_Papers
A list of contrastive Learning papers
wehos/awesome-graph-transformer
Papers about graph transformers.
chainer/chainer
A flexible framework of neural networks for deep learning
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
google-research/vision_transformer
utterworks/fast-bert
Super easy library for BERT based NLP models
jiweibo/ImageNet
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
guoxiaojun1999/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
gusmaogabriels/optinpy
Optimization in Python: Linear and non-linear optimization methods.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
HIPS/autograd
Efficiently computes derivatives of NumPy code.
dev-sungman/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
Louise-LuLin/GCN_Spectral_Attack
alge24/ADA-UGNN
A Unified View on Graph Neural Networks as Graph Signal Denoising
biomed-AI/MolRep
MolRep: A Deep Representation Learning Library for Molecular Property Prediction
awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
huyvnphan/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
lxiaorui/ElasticGNN
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
locuslab/robust_overfitting