cvding's repositories
YOLOV3-NANO
YOLOV3-NANO-Tensorflow
attention-ocr
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Attention-ocr-Chinese-Version
Attention OCR Based On Tensorflow
awesome-cbir-papers
📝Awesome and classical image retrieval papers
BBN
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
cvding.github.io
dddz's blog
DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
faker
Faker is a Python package that generates fake data for you.
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
iwildcam_comp
iWildCam competition details
mobilenetv3-tensorflow
Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.
MobileNetV3_TensorFlow2
A tensorflow2 implementation of MobileNet-V3.
neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
PyNET
Generating RGB photos from RAW image files with PyNET：ISP algorithm
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
tfdatasets
create tfrecords files(include zip), read batch data from tfrecords file
tqdm
A Fast, Extensible Progress Bar for Python and CLI
vim-config
Lean mean (Neo)Vim machine, carefully crafted with :heart: Use with Neovim v0.1.5+ or Vim v7.4+
WS_DAN_PyTorch
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
YOLO-Summary
YOLO系列资料