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C/C++ library and Python bindings for x-ray cross sections, x-ray source spectra modeling, multi-material beam hardening correction, and dual energy decomposition algorithms
comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
Jupyter Notebooks from book UNDERSTANDING DEEP LEARNING (Prof Simon Prince) that I could solve.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet...
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Michigan Image Reconstruction Toolbox (MIRT) - Matlab version
A.Biguri PhD thesis: Iterative Reconstruction and Motion compensation in Computed Tomography on GPUs
Computational Tomography in PyTorch with Mod
Computational Tomography in PyTorch
A computational tool for x‐ray spectrum modeling and analysis.
The state-of-the-art image restoration model without nonlinear activation functions.
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Program to autocorrelate fluorescence speckles
🥗 All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.