nrel-sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
https://github.com/sintel-dev/orion
Unsupervised time series anomaly detection library
bmusegan
Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
https://github.com/ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
gandetection
Detecting GAN generated Images using Convolutional Neural Networks
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
https://github.com/sdv-dev/deepecho
Synthetic Data Generation for mixed-type, multivariate time series.
https://github.com/bchao1/fun-with-mnist
Playing with MNIST. Machine Learning. Generative Models.
https://github.com/csinva/gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
https://github.com/beegass/cs-541-deep-learning
CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.
https://github.com/blutjens/eie-earth-public
Official repo for 'Generating Physically-Consistent Satellite Imagery for Climate Visualizations'
https://github.com/ai-forever/movqgan
MoVQGAN - model for the image encoding and reconstruction
https://github.com/astorfi/cor-gan
:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
https://github.com/chenliu-1996/gan-evaluator
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.
https://github.com/cptanalatriste/celebrity-generator
A deep convolutional generative adversarial network (DCGAN) for generating faces.
argan
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
physics-guided-dic-gan
Physics-guided generative adversarial network for interpolated digital image correlation data
https://github.com/albertnieto/homogan
Building a conditioned GAN that generate faces in Tensorflow 2.0 and Keras.
https://github.com/cedrickchee/gandissect
PyTorch-based tools for visualizing and understanding the neurons of a GAN.
seer
A GAN (generative adversarial network) for projecting synthetic building performance profiles.
https://github.com/cedrickchee/relativisticgan
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
https://github.com/christophreich1996/multi-stylegan
Official and maintained implementation of the paper "Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy" [MICCAI 2021].
https://github.com/cptanalatriste/birds-of-british-empire
Generating images of "fantastic" birds, using Generative Adversarial Networks (GANs).
multiscale-adversarial-attention-gates
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
https://github.com/cedrickchee/stargan-tensorflow
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
deepbedmap
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
awesome-data-synthesis
A curated list of awesome resources for creating synthetic data
https://github.com/christophreich1996/semantic_pyramid_for_image_generation
PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].
chimeramix
Official PyTorch implementation for ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing (IJCAI 2022)
style_transfer_gan_project
To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones