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Bio: Risman Adnan
Type: User
Bio: Risman Adnan
Compare GAN code.
Implementation of Coulomb GANs
Coulomb GAN implemented in Chainer.
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A stable algorithm for GAN training
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
starter from "How to Train a GAN?" at NIPS2016
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Code for "Gradient descent GAN optimization is locally stable"
Code for the paper "Improved Techniques for Training GANs"
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
Introduction to Generative Adversarial Networks
Code for the paper Generalization and Equilibrium in GANs
Models and examples built with TensorFlow
A implement of PGGAN for tensorflow version(progressive growing GANs for improved quality, stability and variation)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tensorflow implement of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
Experiments with Git
Official Implementation of StarGAN - CVPR 2018
A library make TensorBoard working in Colab Google
Collection of generative models in Tensorflow
Tensorflow implementation of different GANs and their comparisions
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".
Two time-scale update rule for training GANs
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.