Did-Somebody-Say-Corgi
SatelliteCloudGenerator
| Did-Somebody-Say-Corgi | SatelliteCloudGenerator | |
|---|---|---|
| 3 | 1 | |
| 87 | 99 | |
| - | - | |
| 0.0 | 4.4 | |
| over 2 years ago | 14 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Did-Somebody-Say-Corgi
-
AI-based corgi synthesis (x-post r/machinelearning)
Have a look at the GitHub page for more information. You can use this Colab Notebook if you'd like synthesize your own corgi images or videos! You probably need some basic Python knowledge though.
-
[P] StyleGAN2-ADA trained on cute corgi images <3
Have a look at my [GitHub page](https://github.com/seawee1/Did-Somebody-Say-Corgi) for more information. You'll also find all the links there, i.e. one to the dataset (eventhough I'm not sure if anybody would actually need such a dataset :D) and the model checkpoints.
-
StyleGAN2 model trained on images of corgis
It took quite some time to aquire and preprocess the high-resolution corgi dataset, and even more time to train the model using Colab Pro (~18 days). Have a look at my [https://github.com/seawee1/Did-Somebody-Say-Corgi](GitHub page) for more information. You can also play around with it using this Colab notebook.
SatelliteCloudGenerator
What are some alternatives?
models - A collection of pre-trained, state-of-the-art models in the ONNX format
Frido - Research code for paper "Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis"
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).
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.