zhangyimin234's Stars
d2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
listen1/listen1_desktop
one for all free music in china (Windows, Mac, Linux desktop)
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
OUCMachineLearning/OUCML
Newmu/dcgan_code
Deep Convolutional Generative Adversarial Networks
JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
ShusenTang/Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
VasiliBaranov/packing-generation
Hard-sphere packing generation in C++ with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.
GeostatsGuy/ExcelNumericalDemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
OPM/LBPM
Pore scale modelling
zhangprofessor/fast-Non-local-Means-and-Asymptotic-Non-local-Means
Non-Local means denoising (NLM) algorithm is a milestone algorithm in the field of image processing. The proposal of NLM has opened up the non-local method which has a deep influence. This paper performed a revisit for NLM from two aspects as follows: 1. To alleviate the high computational complexity problem of NLM, a fast algorithm was constructed, which was based on cross-correlation and fast Fourier transform; 2. NLM always blur structures and textures during the noise removal, especially in the case of strong noise. To solve this problem, an Asymptotic Non-Local Means image denoising algorithm is put forward, which uses the property of noise variance to control the filtering parameters. Numerical experiments illustrate that the fast algorithm is 27 times faster than classical implementation with standard parameter configuration, and the ANLM uniformly outperforms classical NLM, in terms of both PSNR and visual effects.
NVlabs/SNN
Matlab code implementation the modified Non Local Means and Bilateral filters, as described in I. Frosio, J. Kautz, Statistical Nearest Neighbors for Image Denoising, IEEE Trans. Image Processing, 2018. The repository also includes the Matlab code to replicate the results of the toy problem described in the paper.
AhmedAlratrout/ContactAngle-Curvature-Roughness
Automatic measurements of contact angle, interfacial curvature and surface roughness in pore-scale images
AppliedMathematicsANU/diamorse
Digital image analysis using discrete Morse theory and persistent homology
vikasgola/image-filtering
image filtering techniques in python with examples
thorstenwagner/ij-nl-means
Non local means filter for ImageJ
yingDaWang-UNSW/SegNets-3D
Repo for SegNets, though the code also contains cycleGAN, SRGAN, and other modules
zyg11/non-local-means-denoising
non-local means denoising
aavikdal/FluidFlowSegmentation
ImperialCollegeLondon/PorousMediaGan
Reconstruction of three-dimensional porous media using generative adversarial neural networks