A resource for learning about Machine learning & Deep Learning
-
Updated
Jul 7, 2024 - Python
A resource for learning about Machine learning & Deep Learning
This repo implements a simple GAN with fc layers and trains it on MNIST
A scratch GAN to generate images of mixed world coins using PyTorch
A pip-installable evaluator for GANs (IS and FID). Accepts either dataloaders or individual batches. Supports on-the-fly evaluation during training. A working DCGAN SVHN demo script provided.
A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. Final project from MLDL course 2020/2021
Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Noise2Void - Learning Denoising from Single Noisy Images
[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
PyTorch implementation of various GAN architectures.
A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.
PANDA (Pytorch) pipeline, is a computational toolbox (MATLAB + pytorch) for generating PET navigators using Generative Adversarial networks.
pix2pix and Cycle GAN architectures for image style transfer
Pytorch implementation of Vanilla-GAN for MNIST, FashionMNIST, and USPS dataset.
Pytorch implementation of a small GAN network for MNIST, FashionMNIST, and USPS dataset.
A Vanilla Generative Adversarial Network(GAN) for generating images of Pokemon
[CNN PROGRAMMING] 005 - DCGAN
A web-app that uses a vanilla generative adversarial network and unsupervised learning to generate random 28X28x1 plasma style images of digits from 0 to 9
Creates unique music videos, using a generative adversarial network.
A Generative Adversarial Network implementation that generates Sharingans
Add a description, image, and links to the pytorch-gan topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-gan topic, visit your repo's landing page and select "manage topics."