napolun279
Follow
Stars
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
Real-Time High-Resolution Background Matting
High-performance Vision library in Python. Scale your research, not boilerplate.
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Copy-paste augmentation for segmentation and detection tasks
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
StarGAN - Official PyTorch Implementation (CVPR 2018)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Official Implementation of 'Fast AutoAugment' in PyTorch.
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
Reference models and tools for Cloud TPUs.
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Official Pytorch implementation of CutMix regularizer
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Pytorch implementation of Generated Image Quality Assessment
Lists the papers related to imbalance problems in object detection [TPAMI]
OpenMMLab Detection Toolbox and Benchmark