Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Last update: Jan 01, 2023

Related tags

Deep Learning improved_wgan_training

Overview

Improved Training of Wasserstein GANs

Code for reproducing experiments in "Improved Training of Wasserstein GANs".

Prerequisites

Python, NumPy, TensorFlow, SciPy, Matplotlib
A recent NVIDIA GPU

Models

Configuration for all models is specified in a list of constants at the top of the file. Two models should work "out of the box":

python gan_toy.py: Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll).
python gan_mnist.py: MNIST

For the other models, edit the file to specify the path to the dataset in DATA_DIR before running. Each model's dataset is publicly available; the download URL is in the file.

python gan_64x64.py: 64x64 architectures (this code trains on ImageNet instead of LSUN bedrooms in the paper)
python gan_language.py: Character-level language model
python gan_cifar.py: CIFAR-10

Owner

Ishaan Gulrajani

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Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Related tags

Overview

Improved Training of Wasserstein GANs

Prerequisites

Models

Owner

Ishaan Gulrajani

Efficient neural networks for analog audio effect modeling

BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work

PyTorch implementation of MuseMorphose, a Transformer-based model for music style transfer.

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, arXiv 2021

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A list of all named GANs!

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Related tags

Overview

Improved Training of Wasserstein GANs

Prerequisites

Models

Owner

Ishaan Gulrajani

Efficient neural networks for analog audio effect modeling

BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work

PyTorch implementation of MuseMorphose, a Transformer-based model for music style transfer.

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, arXiv 2021

Real-Time Semantic Segmentation in Mobile device

Only works with the dashboard version / branch of jesse

Real-time Neural Representation Fusion for Robust Volumetric Mapping

BTC-Generator - BTC Generator With Python

Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"

Parameterized Explainer for Graph Neural Network

Improving the robustness and performance of biomedical NLP models through adversarial training

Language Used: Python . Made in Jupyter(Anaconda) notebook.

Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network.

An implementation of MobileFormer

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.

A Python implementation of global optimization with gaussian processes.

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A list of all named GANs!

TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.