Keun's starred repositories
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Ready-For-Tech-Interview
💻 신입 개발자로서 지식을 쌓기 위해 공부하는 공간 👨💻
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
pytorch-ddpm
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
pytorch-generative
Easy generative modeling in PyTorch.
advanced-tensorflow
Little More Advanced TensorFlow Implementations
MAE-pytorch
Masked Autoencoders Are Scalable Vision Learners
SPADE-pytorch
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
pytorch-CAM
Class Activation Mapping written in PyTorch.
awesome-mixed-sample-data-augmentation
A collection of awesome things about mixed sample data augmentation
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125