neuralnewtorks Goto Github PK

a-pytorch-tutorial-to-super-resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

a-simple-cat-vs-dog-classifier-in-pytorch

A Cat vs Dog Classifier in pytorch using a simple convolutional model.

bcdigeometry-part2-reconstructioncode

Code to achieve the geometry-aware phase retrieval described in the paper "General approaches for shear-correcting coordinate transformations in Bragg coherent diffraction imaging: Part 2". Includes Matlab code for the geometry-aware 3D FFT and backprojection-based reconstruction.

car

Content adaptive resampler for image downscaling

chainer

A flexible framework of neural networks for deep learning

coherentxrayimaging

Phase retrieval algorithms

complex-networks-release

Implementation related to the paper "Complex-Valued Convolutional Neural Networks for MRI Reconstruction" by Elizabeth K. Cole et. al; Toolbox for complex-valued convolution and activation functions using an unrolled architecture.

complex-neural-networks

Implementation of Complex Valued Neural Networks in Pytorch 🧠

complexcnn

pytorch implementation of complex convolutional neural network

complexvaluedcnn

Complex Valued CNN

cuml

cuML - RAPIDS Machine Learning Library

dcod

Reconstruct in-line holograms with a single image.

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

dcscn-super-resolution-1

DCSCN Super Resolution model in pytorch

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_complex_networks

Implementation related to the Deep Complex Networks

distributed_tutorial

drln

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

hierarchicalsmooth

Implementation of the hierarchical smooth algorithm applicable to voxelated images of interface networks ( grain boundaries, soap foam, etc. )

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

imageprocessing_course_icmc

Image Processing Course at ICMC/USP

inline_holo

Python code for inline holography using through-focus image series.

markchen_blog

matlabepie

mayavi

3D visualization of scientific data in Python

mcnn

Demo of Multi-scale Deep Convolutional Neural Networks

number

nutcracker

A collection of software tools for validation of flash xray imaging reconstructions packaged as a Python library.