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Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].
A curated list of papers, code and resources pertaining to few-shot image generation
⚡️ 百度网盘不限速下载器 BND,支持 Windows、Mac 和 Linux。
An deep SNN approach to the OCR of Chinese calligraphy
(MICCAI23) This is the official code repository for "EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation".
Creat your own dataset with the similar format with CIFAR10 in python version.
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Compare GAN code.
An awesome OCR engine developed by SYSU DeepDriving Lab
DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
(秒杀 DeepLabV3+ 和Unet 的缺陷检测网络) A Tensorflow implementation of "(cvpr2019)Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
deep learning for image processing including classification and object-detection etc.
深度学习论文翻译,包括分类论文,检测论文等
Deep Learning Book Chinese Translation
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Implementation of Face-recognition system using Inception Network and Siamese Network
An application FCN for crack recogntion using tensorflow
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.
In this project, you'll train a convolutional neural network to classify and recognize different categories of fonts. We'll be using the dataset of 100 categories of fonts to train our model.
A Tensorflow implementation of FPN detection framework.
A easy-to-use FPN modified from https://github.com/yangxue0827/FPN_Tensorflow.
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
FSS-1000, A 1000-class Dataset For Few-shot Segmentation
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
a baseline for baidu dog classification competition.
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.