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Image-to-image translation with conditional adversarial nets
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
python版本:高准确度中文分词工具,简单易用,跟现有开源工具相比大幅提高了分词的准确率。
Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
self-supervised training an interpretable model for image reconstruction involving spatially-varying deconvolution, applicable for various low-level vision tasks
Code for ATGV-Net: Accurate Depth Super-Resolution
PRML algorithms implemented in Python
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛:Mask R-CNN肺部结节智能检测(Segmentation + Classification)
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows/change object's id to string build and python3
pyobfuscate
A natural language modeling framework based on PyTorch
Turn your Python application into an Android APK
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
A PyTorch implementation of CapsNet based on NIPS2017 paper "Dynamic Routing Between Capsules"
Pytorch implementation of convolutional neural network adversarial attack techniques
Pytorch implementation of convolutional neural network visualization techniques
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Example of Deconvnet in PyTorch for VGG16
官方提供的Pytorch实例源码.A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tutorials, examples, and projects implemented with PyTorch
PyTorch Implementation of Fully Convolutional Networks, including copy params from pre-trained vgg
PyTorch implementations of Generative Adversarial Networks.
PyTorch for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks".
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
Pytorch implementation of cnn network
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.