ChowZhiqiang

ChowZhiqiang's Stars

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript313k6.8k2.7k40.8k

• cszn/DnCNN

  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

  Language:MATLAB1.5k5698539

• yu4u/noise2noise

  An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

  Language:Python1.1k4450236

• jhfmat/ISP-pipeline-hdrplus

  Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

  Language:C865915214

• mmc-maodun/Data-Structure-And-Algorithm

  Data Structure And Algorithm（常用数据结构与算法C/C++实现）

  Language:C++841483295

• Keyird/DeepLearning-TensorFlow2

  本仓库我将使用谷歌TensorFlow2框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较经典的目标检测网络、语义分割网络等。

  Language:Python351125117

• huanzheWu/Data-Structure

  基于C++模板 实现的数据结构代码

  Language:C++261105129

• MachineLP/train_arch

  cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

  Language:Python2096075

• ricedsp/D-AMP_Toolbox

  This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

  Language:MATLAB20613788

• titu1994/keras-efficientnets

  Keras Implementation of EfficientNets

  Language:Python18682063

• weitw/ImageDenoise

  基于MATLAB实现传统图像去噪算法（均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D）和基于深度卷积神经网络的DnCNN图像去噪算法。

  Language:MATLAB1541227

• QiaoranC/tf_ResNeSt_RegNet_model

  tensorflow 2.x version of ResNeSt,RegNet,DETR

  Language:Python12942331

• marload/ConvNets-TensorFlow2

  ⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

  Language:Python1056331

• chintan1995/Image-Denoising-using-Deep-Learning

  Language:Jupyter Notebook793526

• youngbin-ro/Attention-Based-BiLSTM

  Tensorflow Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

  Language:Python24301

• monatis/efficientnet-tf2

  A reusable implementation of EfficientNet in TensorFlow 2.0 and Keras

  Language:Python176212

• tsing-cv/EfficientNet-tensorflow-eager

  reimplement efficientnet use tf.keras tf2.0

  Language:Python17305

• cviaai/PSF-GAN-ESTIMATION

  End-to-end PSF extraction for 3D microscopy

  Language:Jupyter Notebook14211

• angryhen/model_tensorflow2.0

  learning tensorflow2.0

  Language:Python13216

• Sheldon04/DADIP-pytorch

  Blind Image Deblurring Based on Dual Attention Network and 2D Blur Kernel Estimation

  Language:Python120

• HirataYurina/ShuffleNetV2-SqueezeNet-Inception

  ShuffleNetV2, SqueezeNet, inceptionV1 implemented by tensorflow2.0

  Language:Python6300

• mikechen66/Inception-v1-v4-tf2

  Make the classical Inception v1~v4, Xception v1 and Inception ResNet v2 models in TensorFlow 2.3 and Keras 2.4.3. Rebuild the 6 models with the style of linear algebra, including matrix components for both Inception A,B,C and Reduction A,B. In contrast, Inception Stem only addresses addition computation.

  Language:Jupyter Notebook6201

• malone211/PSF-estimation

  PSF estimation for adaptive optics imaging of astronomical extended objects

  Language:Python31

• swotr/tf2-keras-imagenet

  ImageNet training (EfficientNet-B0, AlexNet-BN) (TF2, Keras, and Multi-gpu)

  Language:Python3000

• floopypoppy/WFprediction

  use a LSTM network for wavefront prediction in SCAO & error analysis

  Language:Python1100

• mikechen66/EfficientNet_TF2

  Make the necessary changes to adapt to the environment of TensorFlow 2.3, Keras 2.4.3, CUDA Toolkit 11.0, cuDNN 8.0.1 and CUDA 450.57. In addition, write the new lines of code to replace the deprecated code.

  Language:Jupyter Notebook1200

• Monkeone/tensorflow2-inceptionv3

  Language:Python1100

• MosesDastmard/noise2noise-tf2-small

  Image Restoration using noisy train images.

  Language:Jupyter Notebook1

• Runist/EfficientNet

  Use tf2 and keras implement EfficientNet

  Language:Python1201

• tdincer/ImageSegmentation

  Image Segmentation with UNET

  Language:Python1200