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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Resources about activity recognition-行为识别资料
A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"
[CVPR2020] Adversarial Latent Autoencoders
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
The pytorch implement for Attention Residual Learning for Skin Lesion Classification
Implementing Attention Augmented Convolutional Networks using Pytorch
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Reproducible code for Augmentation paper
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
This is a list of awesome methods about data augmentation.
A curated list of Meta-Learning resources/papers.
A curated list of awesome self-supervised methods
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
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Code for Class Anchor Clustering loss for training a distance-based open set classifier
CBAM implementation on TensowFlow
PyTorch implementation of CNNs for CIFAR benchmark
Dual Attention Network for Scene Segmentation (CVPR2019)
A collection of various deep learning architectures, models, and tips
The deeplearning algorithms implemented by tensorflow
The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".
diffGrad: An Optimization Method for Convolutional Neural Networks
Regularizing Meta-Learning via Gradient Dropout
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
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.