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Type: Organization
Type: Organization
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
A Cat vs Dog Classifier in pytorch using a simple convolutional model.
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.
Content adaptive resampler for image downscaling
A flexible framework of neural networks for deep learning
Phase retrieval algorithms
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.
Implementation of Complex Valued Neural Networks in Pytorch 🧠
pytorch implementation of complex convolutional neural network
Complex Valued CNN
cuML - RAPIDS Machine Learning Library
Reconstruct in-line holograms with a single image.
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 model in pytorch
deep learning for image processing including classification and object-detection etc.
Implementation related to the Deep Complex Networks
Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
Initial public release of code, data, and model weights for FourCastNet
Implementation of the hierarchical smooth algorithm applicable to voxelated images of interface networks ( grain boundaries, soap foam, etc. )
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Image Processing Course at ICMC/USP
Python code for inline holography using through-focus image series.
3D visualization of scientific data in Python
Demo of Multi-scale Deep Convolutional Neural Networks
A collection of software tools for validation of flash xray imaging reconstructions packaged as a Python library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.