nmghdoudou

nmghdoudou's Stars

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.2k5.4k

• mazayux/pycontourlet

  Contourlet transform toolbox

  Language:Python3810

• ZitongYu/CDCN

  Central Difference Convolutional Networks (CVPR'20)

  Language:Python552179

• gariyanto/face-recognition-lbp-nn

  Source code of a paper entitled "Face Recognition Using Local Binary Pattern and Nearest Neighbour Classification"

  Language:Python33

• adityajain10/human-detection-using-hog-lbp-neural-networks

  The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

  Language:Python124

• dakshayh/Face-Spoofing-Detection

  Deep Texture feature extraction and implementing Local Binary Pattern(LBP)-based Convolutional Neural Network

  Language:Python286

• rqalbuquerque/CLBP

  Implementation of "A Completed Modeling of Local Binary Pattern Operator for Texture Classification"

  Language:Python173

• alexhe101/Texture-Synthesis-Tensorflow

  Language:Jupyter Notebook3

• chenyuhan1997/MMFF-NET

  The code of "MMFF-NET: Multi-layer and multi-scale feature fusion network for low-light infrared image enhancement"

  Language:Python122

• csjunxu/STAR-TIP2020

  Matlab code for STAR: A Structure and Texture Aware Retinex Model, TIP 2020.

  Language:MATLAB5920

• heucoder/dimensionality_reduction_alo_codes

  特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

  Language:Python2.3k621

• FWen/deblur-pmp

  Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization

  Language:MATLAB8419

• TwoTu/MF-LIME

  基于Retinex模型和多尺度融合的低光照图像增强技术 Low-light image enhancement technology based on Retinex model and multi-scale fusion

  Language:MATLAB7710

• typeisgod/ECP

  Language:MATLAB41

• MKFMIKU/d2sm

  Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)

  Language:Python241

• RaphaelMeudec/deblur-gan

  Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

  Language:Python585245

• SeungjunNah/DeepDeblur-PyTorch

  Deep Multi-scale CNN for Dynamic Scene Deblurring

  Language:Python25540

• ZhugeKongan/Attention-mechanism-implementation

  Self-attention、Non-local、SE、SK、CBAM、DANet

  Language:Python43171

• ustclby/Unsupervised-Domain-Specific-Deblurring

  Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"

  Language:Python11028

• githahaguai/Unsupervised-Domain-Specific-Deblurring

  Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"

  1

• HsinYingLee/DRIT

  Learning diverse image-to-image translation from unpaired data

  Language:Python839153

• dathlin/HslCommunicationPython

  HslCommunication的python版本

  Language:Python5128

• caogang/wgan-gp

  A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

  Language:Python1.5k345

• engindeniz/Cycle-Dehaze

  [CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

  Language:Python14544

• researchmm/TTSR

  [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

  Language:Python764115

• jorge-pessoa/pytorch-msssim

  PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss

  Language:Python45169

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k4.1k

• yulunzhang/RDN

  Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

  Language:Lua546109

• Board-Dadz/Python-Snap7-PLC-Comms

  Basic communication to a Siemens 300PLC using python and Snap7

  Language:Python1

• dc-cheny/Python-Siemens-PLC-Snap7

  python Siemens plc communication using snap 7

  Language:Python2