unique-chan

unique-chan's Stars

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python7.9k1312961.5k

• OpenStitching/stitching

  A Python package for fast and robust Image Stitching

  Language:Python2.1k1795160

• theAIGuysCode/yolov4-deepsort

  Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

  Language:Python1.3k15153752

• gjy3035/C-3-Framework

  An open-source PyTorch code for crowd counting

  Language:Jupyter Notebook69823112200

• gjy3035/GCC-CL

  GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

  Language:C++13563231

• JunYeopLee/fast-autoaugment-efficientnet-pytorch

  A Pytorch implementation of Fast AutoAugment and EfficientNet

  Language:Python1195913

• CorentinBrtx/image-stitching

  Image Stitching algorithm in Python from scratch with gain compensation and blending

  Language:Python1063416

• vlad3996/computing-density-maps

  Fast computing density maps for ShanghaiTech and other datasets

  Language:Jupyter Notebook530210

• unique-chan/Complement-Cross-Entropy

  Imbalanced Image Classification with Complement Cross Entropy (Pytorch)

  Language:Python48345

• yikaiw/RS-Nets

  [ECCV 2020] Code release for "Resolution Switchable Networks for Runtime Efficient Image Recognition"

  Language:Python40528

• Dodant/anpr-with-yolo-v4

  Automatic License Plate Recognition using Yolo v4 (2020-1 CNU SW Capstone Design Project)

  Language:Python394327

• brightyoun/TITS-LPST

  36343

• liuhengyue/fcsgg

  A PyTorch implementation for the paper: Fully Convolutional Scene Graph Generation, CVPR 2021

  Language:Jupyter Notebook272132

• eugenesiow/super-image-data

  Image super resolution datasets for use with the super-image library.

  Language:Python24204

• unique-chan/Simple-Image-Classification

  Simple Image Classification Code (PyTorch)

  Language:Python8104

• swift1988/InsDist

  Language:Python7211

• hahajjjun/KorNLI-DACON

  Solution of DACON Korean NLI competition

  Language:Jupyter Notebook6100

• dijitalYoruk/Caltech-UCSD-Birds-PyTorch

  German traffic signs dataset is analysed with Keras. This task is a multi-class classification problem and the dataset is complex because of containing 200 classes with 12000 images. The dataset is splitted into training, validation and test dataset and normalised. Data is preprocessed and data augmentation is applied. The ResNet model is used by the courtesy of transfer learning and trained. At the end of this process, 69% acurracy is obtained on the test dataset

  Language:Jupyter Notebook5202

• hccho2/Tensorflow-vs-Pyorch

  Language:Jupyter Notebook5200

• brightyoun/Rain-VV

  4100

• unique-chan/Classwise-Regulated-Entropy

  Learning Semantically Enhanced Features with Classwise Regulated Entropy (PyTorch)

  Language:Python4101

• Dodant/image-metadata-annotator

  Image Meta Data Annotation Tool for Crowd Counting

  Language:Python3110

• Dodant/neuroimaging-with-python

  Make some SPM Features With Python

  Language:Jupyter Notebook3201

• Dodant/Awesome-AutoAugment

  21

• unique-chan/ADE-devkit

  DevKit for ADE: Arma3 density estimation

  20

• Dodant/disturb-knowledge

  for KCC 2022 Paper (Outstanding Paper Award)

  Language:Python1100

• hahajjjun/Disastogram

  Design of COVID-19 Emergency Notification Pictogram and Rule-Based Keyword Extraction Algorithm. HCI 2022 Proceeeding,(),560-565.

  Language:Jupyter Notebook1100

• hoonisone/Tourist_Identification-V2

  Tourist Identification from Public Transportation Passengers Considering the Types of Access to A Tourist City

  Language:Jupyter Notebook11

• unique-chan/Knowledge-Distillation

  Knowledge Distillation (PyTorch)

  Language:Python1101

• unique-chan/Knowledge-Distillation-Papers

  Unofficial Implementations for recent knowledge distillation papers with PyTorch

  Language:Python1100