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Collection of popular and reproducible image denoising works.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
DerainZoo for collecting deraining methods, datasets, and codes.
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
A curated list of awesome Machine Learning frameworks, libraries and software.
My blogs and code for machine learning. http://cnblogs.com/pinard
A collection of various deep learning architectures, models, and tips
Lectures for INFO8010 Deep Learning, ULiège
An example attention network with simple dataset.
Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema
Repository that gathers code for signal processing
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
Side window is better than Full window
Awesome resources of yousan.ai(closely related to deep learning).
Synthesizing and manipulating 2048x1024 images with conditional GANs
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection (CVPR'19)
A paper list of object detection using deep learning.
CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)