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Generative Adversarial Network

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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.

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dhanushkamath / VariationalAutoencoder

Star 19

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

python machine-learning computer-vision deep-learning neural-network tensorflow keras artificial-intelligence generative-adversarial-network generative-model neural-networks generative-art artificial-neural-networks keras-tutorials convolutional-neural-networks faces generative-adversarial-networks keras-models variational-autoencoders keras-implementations
  • Updated Feb 16, 2020
  • Jupyter Notebook

HROlive / Applications-of-AI-for-Anomaly-Detection

Star 16

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

python machine-learning deep-learning notebook tensorflow keras pandas generative-adversarial-network xgboost autoencoders anomaly-detection nvidia-gpu rapids
  • Updated May 23, 2024
  • Jupyter Notebook

sourcecode369 / unconventional-neural-networks

Star 11

Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in TensorFlow, and Python. This repo aims to understand and make amazing things out of Neural Network layers.

python tensorflow keras pytorch recurrent-neural-networks generative-adversarial-network neural-networks autoencoder convolutional-neural-networks boltzmann-machines attention-mechanism variational-autoencoder generative-models neural-style-transfer
  • Updated Nov 22, 2022
  • Jupyter Notebook
Image-Generation-Using-GAN-Gen-AI-Project-

abhi227070 / Image-Generation-Using-GAN-Gen-AI-Project-

Star 4

Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.

deep-neural-networks deep-learning generative-adversarial-network generative-model generative-art image-generation deeplearning generative-ai generative-ai-projects image-generation-ai
  • Updated Mar 30, 2024
  • Jupyter Notebook

Dave-Vedant / Deep_Learning_NanoDegree-Udacity

Star 4

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.

aws-lambda sentiment-analysis neural-network aws-s3 vscode python3 generative-adversarial-network aws-ec2 convolutional-neural-networks sagemaker reccurent-neural-network jupyternotebook
  • Updated Dec 12, 2020
  • Jupyter Notebook

Released June 10, 2014

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