gan
by tensorflow
Tooling for GANs in TensorFlow
AI summary
GAN toolset
Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow
- stars
- 944
- forks
- 249
- watching
- 46
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
GAN generator
A deep learning implementation of a generative adversarial network for generating images from text descriptions.
Graph Network Library
Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.
TensorFlow tutorial
An end-to-end deep learning project demonstrating various TensorFlow techniques and applications in image classification, GANs, text classification, and more.
GAN trainer
Improves GAN training efficiency by incorporating data augmentation
GAN framework
A collection of MATLAB implementations for Generative Adversarial Networks (GANs) and related deep learning techniques
GAN analyzer
Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance.
Tensor network library
A library for easy and efficient manipulation of tensor networks.
GAN frameworks
A collection of Torch implementations for training various types of Generative Adversarial Networks (GANs)
GAN toolkit
A software framework implementing a generative adversarial network (GAN) model for image generation and manipulation
Image Text GAN Framework
Software framework for training and evaluating generative models of images and text based on adversarial networks
GAN resource guide
A curated collection of resources and techniques for training Generative Adversarial Networks (GANs) with various architectures, normalization methods, and regularization strategies.
Image enhancer
An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution
Network libraries
A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows.
Neural network library
Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language.
Image generator
Implementation of a generative adversarial network for generating images with conditional variations.
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions gan.
