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Name: Xiao Wang
Type: User
Company: University of Washington
Bio: Xiao Wang, Postdoc @ Noble Lab, CS Ph.D @ Kihara Lab
Location: Seattle
Blog: https://xiaowang.org
Name: Xiao Wang
Type: User
Company: University of Washington
Bio: Xiao Wang, Postdoc @ Noble Lab, CS Ph.D @ Kihara Lab
Location: Seattle
Blog: https://xiaowang.org
Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A state-of-the-art semi-supervised method for image recognition
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN dataset on supervised(sl) and semi-supervised(ssl) tasks.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
Models and examples built with TensorFlow
NLNL: Negative Learning for Noisy Labels
Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
Efficient Learning of Augmentation Policy Schedules
Latex code for making neural networks diagrams
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
Pytorch transforms based on numpy arrays instead of PIL Image
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Unofficial PyTorch Reimplementation of RandAugment.
README文件语法解读,即Github Flavored Markdown语法介绍
Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"
Image processing in Python
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A LARS implementation in PyTorch
Tvnet implemented in pytorch
TensorFlow code for Unsupervised Data Augmentation (UDA)
Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)
Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
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.