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A reading list of top Conferences & Journals, focused on facial expression recognition (FER)
Large-scale image retrival by deep learning(基于深度学习的大规模图像检索)
Deep Feature Flow for Video Recognition
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
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
This is the C++ implement of the paper: Face Detection, Pose Estimation, and Landmark Localization in the Wild
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Flow-Guided Feature Aggregation for Video Object Detection
React/ApolloGraphQL/Node/Mongo demo written in Typescript
Interactive Image Generation via Generative Adversarial Networks
Data augmentation tool for images
Keras implementations of Generative Adversarial Networks.
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Models and examples built with TensorFlow
PyTorch implementation of "ODE-inspired Network Design for Single Image Super-Resolution"(CVPR2019)
Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018
Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Synthesizing and manipulating 2048x1024 images with conditional GANs
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition, CVPRW, 2018
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch implementations of Generative Adversarial Networks.
Collection of generative models in Pytorch version.
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
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.