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😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
Learning to See in the Dark using PyTorch >= 1.0.0
lbin / DCNv2
Forked from CharlesShang/DCNv2Deformable Convolutional Networks v2 with Pytorch
Syntax color theme for JetBrains products inspired by Sublime Text's Monokai Theme
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)
[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Collect super-resolution related papers, data, repositories
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
Pytorch implementation of various Knowledge Distillation (KD) methods.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)
The PyTorch implementation of SGN (ICCV 2019), modified from https://github.com/zhaoyuzhi/Self-Guided-Network-for-Fast-Image-Denoising
The PyTorch implementation of ICCV 2019 paper SGN
The Project is real time application in opencv using first order model
Identifying diabetic retinopathy using convolutional neural networks
Repo for counting stars and contributing. Press F to pay respect to glorious developers.