lzlzlzkk's Stars
ermongroup/BCD-Nets
Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
limhongki/BCD_Net
limhongki/Momentum_Net
MrGiovanni/UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
sara2227/Material-Decomposition-ResUnet
naveedilyas/Supervised-learning-based-Material-Decomposition
gjadick/multi-mat-decomp
Framework for multi-triplet material decomposition of dual-energy CT images.
013630700/CG_Tikhonov
Make CG Tikhonov work for two material two energies decomposition tomography
gengmufeng/CNCL-denoising
Pytorch implementation of Content-Noise Complementary Learning for Medical Image Denoising.
wxdrizzle/Btrfly-Net-Pytorch
An implementation of Butterfly Net (for vertebra localization) in PyTorch
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Ascend/ModelZoo-TensorFlow
kevin369ml/My-TensorFlow-tutorials
This repo contains all of my TensorFlow tutorials
CharlesW95/senior_project
pegasusTrader/PandoraTrader
高频量化交易平台 C++ Trade Platform for quant developer 【浮生着甚苦奔忙,量化之路阻且长。 行行代码凝心血,十年辛苦不寻常】
lapa19/parallel-image-processing-algorithms
parallel image processing algorithms using pymp
bat67/pytorch-FCN-easiest-demo
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
shelhamer/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
degawong/noiselevel
this is the cpp code of the paper "Single-Image Noise Level Estimation for Blind Denoising"
quronghui/Mathtype
Mathtype Crack
breezedeus/Pix2Text
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
ksmaheshkumar/ButterflyNet
ButterflyNet - A simpler networking library
kentsommer/keras-inceptionV4
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
nutszebra/prelu_net
Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)
conan7882/GoogLeNet-Inception
TensorFlow implementation of GoogLeNet and Inception for image classification.
n3011/Inception_v3_GoogLeNet
GoogleNet Inception v3
zhulf0804/Inceptionv4_and_Inception-ResNetv2.PyTorch
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
DeaML86/MRI_enhancement_TV-ROF_denoising
Magnetic Resonance Enhancement Using prior Knowledge and Denoising
shayneobrien/numerical-methods
Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.