DOHA-HWANG

DOHA-HWANG's Stars

• davzha/multiset-equivariance

  Language:Python13

• SamsungSAILMontreal/difference-submodular-min

  Code for "Difference of Submodular Minimization via DC Programming" [ICML 2023]

  Language:MATLAB4

• SamsungSAILMontreal/hyper-representation

  Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights [NeurIPS 2022]

  2

• SamsungSAILMontreal/GGM-metrics

  On Evaluation Metrics for Graph Generative Models [ICLR 2022]

  1

• SamsungSAILMontreal/PAPA

  Repository for the PopulAtion Parameter Averaging (PAPA) paper

  Language:Python263

• SamsungSAILMontreal/subpruning

  Code for "Data-Efficient Structured Pruning via Submodular Optimization" [NeurIPS 2022]

  Language:Jupyter Notebook82

• SamsungSAILMontreal/ghn3

  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

  Language:Shell302

• coinse/fonte

  Artifact of a paper “Fonte: Finding Bug Inducing Commits From Failures” (ICSE'23)

  124

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook674116

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.6k3k

• megvii-research/FQ-ViT

  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

  Language:Python30148

• omihub777/ViT-CIFAR

  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

  Language:Python16726

• kentaroy47/vision-transformers-cifar10

  Let's train vision transformers (ViT) for cifar 10!

  Language:Python515106

• 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)

  Language:Python38682

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python5.9k2.1k

• facebookresearch/ppuda

  Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

  Language:Python48460

• ndb796/Deep-Learning-Paper-Review-and-Practice

  꼼꼼한 딥러닝 논문 리뷰와 코드 실습

  Language:Jupyter Notebook1.1k322

• cvlab-yonsei/EWGS

  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.

  Language:Python8816

• metamath1/noviceml

  도서 머신러닝·딥러닝에 필요한 기초 수학 with 파이썬의 예제 코드와 그래프 그리는 코드 및 웹앱 저장소

  Language:Jupyter Notebook3925