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Code and hyperparameters for the paper "Generative Adversarial Networks"
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
CapsuleNet Tensorflow
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Capsule Network implementation in Tensorflow
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
Generate handwriting sentences using Deep learning
Code and data for ECCV 2020 paper Generating Handwriting via Decoupled Style Descriptors
Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation into words or characters. Use CTC loss Function to train.
Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Simple Implementation of many GAN models with PyTorch.
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
handwriting generation
Code for BMVC2020 paper "Text and Style Conditioned GAN for Generation of Offline Handwriting Lines"
Handwriting synthesis with deep sequence models. Reimplementation of the paper https://arxiv.org/abs/1308.0850
Generating handwritten digits using Deep Convolutional Generative Adversarial Network(DCGAN).
A really simple way to train Text Recognition CRNN model with Tensorflow2 & Keras & IAM Dataset. Convolutional Recurrent Neural Network. CTC.
effective word embeddings for the hindi language
A star path planning algorithm based line segmentation of handwritten document
Various implementation and analysis on MIAS Mammogram Dataset in Python
Analysis of MIAS and DDSM mammography datasets
Algorithm to segment pectoral muscles in breast mammograms
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Source code for ECCV20 "GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images"
Adversarial Generation of Handwritten Text Images
Smart Library to load image Dataset for Convolution Neural Network (Tensorflow/Keras)
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Detect and classify tumors from medical images
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.