Pinned Repositories
AdaptiveOptim
Adaptive optimization procedure
ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
AWP
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Bag-of-Tricks-for-AT
Empirical tricks for training state-of-the-art robust models on CIFAR-10 (ICLR 2021)
c-blosc
A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.
CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
Efficient_SAM
MetaAttack_ICLR2020
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
RAIN
Codes for paper ''RAIN: A Simple Approach for Robust adn Accurate Image Classificaition Networks''
dydjw9's Repositories
dydjw9/Efficient_SAM
dydjw9/MetaAttack_ICLR2020
dydjw9/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
dydjw9/RAIN
Codes for paper ''RAIN: A Simple Approach for Robust adn Accurate Image Classificaition Networks''
dydjw9/AdaptiveOptim
Adaptive optimization procedure
dydjw9/ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
dydjw9/AWP
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
dydjw9/Bag-of-Tricks-for-AT
Empirical tricks for training state-of-the-art robust models on CIFAR-10 (ICLR 2021)
dydjw9/c-blosc
A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.
dydjw9/CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
dydjw9/Deformable-ConvNets
Deformable Convolutional Networks
dydjw9/dsb-2017
Data Science Bowl 2017
dydjw9/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
dydjw9/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
dydjw9/GSAM_timm
dydjw9/j2ssh-maverick
The open source branch of our legacy API providing a robust, mission critical SSH component to the community.
dydjw9/learning-to-learn
Learning to Learn in TensorFlow
dydjw9/machine-unlearning
dydjw9/malware_ww
dydjw9/mesos-instagram-image-recognition
Build distributed Instagram object recognition service on DCOS/Marathon and TensorFlow
dydjw9/mitosis-detection
Deeply Learnt Models :p
dydjw9/neural-style
Neural style in TensorFlow! :art:
dydjw9/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images