gan
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
Here are 46 public repositories matching this topic...
DCGAN face generator 🧑.
-
Updated
Jul 9, 2021 - Jupyter Notebook
Start here
-
Updated
Feb 10, 2024 - Jupyter Notebook
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
-
Updated
Jun 5, 2023 - Python
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
-
Updated
Sep 23, 2022 - Jupyter Notebook
Python code + notebooks to fully reproduce the results for the blog post "These Bored Apes Do Not Exist" on Medium. Blog post URL: https://medium.com/@nathancooperjones/these-bored-apes-do-not-exist-6bed2c73f02c
-
Updated
Mar 28, 2022 - HTML
A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.
-
Updated
Aug 28, 2022
A colab notebook for video super resolution using GFPGAN
-
Updated
Jun 26, 2023 - Jupyter Notebook
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
-
Updated
Dec 19, 2021 - Jupyter Notebook
StyleGAN2 - Colab Notebook containing code for training + visualization + projection
-
Updated
Feb 29, 2020 - Python
Learning PyTorch through the D2L book. A series of notebooks for the same
-
Updated
Jun 30, 2022 - Jupyter Notebook
A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, just launch it 🚀
-
Updated
Feb 18, 2020 - Jupyter Notebook
🌌The Jupyter Notebook behind ThisNightSkyDoesNotExist - Train a StyleGan2-ADA on a custom image dataset scrapped from Instagram!
-
Updated
Apr 9, 2022 - Jupyter Notebook
A reference folder mapping some of my deep-learning repositories: RNN, GAN, DCGAN, seq2seq, Transfer learning, Autoencoders, Semi-supervised learning
-
Updated
Dec 4, 2017 - Jupyter Notebook
This Repository contain an IPython notebook of an example implementation of conditional Deep Convolutional Generative Adversarial Networks or cDCGAN or DC cGAN using Tensorflow.Keras Funtional API.
-
Updated
May 25, 2021 - Jupyter Notebook
Here i present several GAN models in format of notebook implemented with tensorflow using the layers API
-
Updated
Aug 17, 2018 - Jupyter Notebook
Implementation notebooks and scripts of the Deep Learning Nanodegree Foundations program.
-
Updated
Nov 22, 2022 - Jupyter Notebook
This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied …
-
Updated
Sep 26, 2020 - Jupyter Notebook
A Tensorflow 2 implementation of SNGAN and Projection Discriminator
-
Updated
Feb 18, 2020 - Jupyter Notebook
Released June 10, 2014
- Followers
- 231 followers
- Wikipedia
- Wikipedia