6potato6

6potato6

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QC-CNN

Quantum-classical hybrid convolutional neural network for classical image classification

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jsqubits

Quantum computation simulation JavaScript library

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qubranch

QuBranch is a tool for quantum programming,which will provide developers an integrated development environment.You can build quantum circuits and run them on real quantum hardware or simulators.

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VueAdmin

完整教学!从0到1开发,手把手教你学会开发一个spring security + jwt + vue的前后端分离项目! 线上演示:https://markerhub.com/vueadmin/

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NHDRRNet-pytorch

PyTorch re-implementation of TIP'20 paper: Deep HDR Imaging via a Non-Local Network

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Cross-Scale-Non-Local-Attention

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

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LFT

PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"

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Non-local_pytorch

Implementation of Non-local Block.

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RNAN

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

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RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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archetypal_style_analysis

Archetypal Analysis of Artistic Styles

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StyleNAS

Official pytorch implementation of the paper: "Ultrafast Photorealistic Style Transfer via Neural Architecture Search"

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Joint-Bilateral-Learning

An unofficial implementation of Joint Bilateral Learning for Real-time Universal photorealistic Style Transfer

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FastPhotoStyle

Style transfer, deep learning, feature transform

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WCT2

Software that can perform photorealistic style transfer without the need of any post-processing steps.

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OpenGait

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

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DeepUPE_pytorch

unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

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STAR-pytorch

Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement"

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deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

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kapture

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

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pytorch-NetVlad

Pytorch implementation of NetVlad including training on Pittsburgh.

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NetVLAD-pytorch

PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.

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OpenIBL

[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. 🌏 PyTorch open-source toolbox for image-based localization (place recognition).

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SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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TimeSformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

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CNLRN

The repository is an official implementation of our CVPRW2021 paper : Learning A Cascaded Non-Local Residual Network for Super-resolving Blurry Images

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DeepHomography

Content-Aware Unsupervised Deep Homography Estimation

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