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[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Retina blood vessel segmentation with a convolutional neural network
Retrospective motion-correction of 3D MRI k-space data in Matlab
Implementation of Iterative Reweighted L1 Minimization
Iterative Reduced FOV reconstruction for PROPELLER
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.
Simple auto‐calibrated gradient delay estimation from few spokes using Radial Intersections (RING)
The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
Implementing Recurrent Neural Network from Scratch
Recurrent Neural Networks (RNN) to predict google stock's price
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
Robust Non Negative Dictionary Learning
build tensorflow high level rnn api from scratch
Segmenting road from image using Deep Learning and Graph Cut
Denoising of Impulsive noise in single/multichannel images
Matlab Simulation Code for "Robust group sparse beamforming for multicast green Cloud-RAN with imperfect CSI", by Y. Shi, J. Zhang, and K. B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 17, pp. 4647-4659, Sept. 2015.
Sparse + Low-Rank Hankel Matrix Decomposition for Impulse Noise Removal
Robust PCA implementation and examples (Matlab)
The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow
Code for processing and analysis of resting state fMRI
Code for paper "Spherical space domain adaptation with pseudo label (CVPR 2020)".
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.