Generated deep space objects

• projected-gan

  8 878 0.0 Python

  [NeurIPS'21] Projected GANs Converge Faster

  

Made with two ml algorithms, one that generates a tiny 256x256 'base' image, and another that upscales it. Both of them have been trained on a astrophotography-based dataset, but the model architecture are open sourced from Projected-Gan and Real-ESRGAN respectively.

• Real-ESRGAN

  131 25,886 0.0 Python

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Made with two ml algorithms, one that generates a tiny 256x256 'base' image, and another that upscales it. Both of them have been trained on a astrophotography-based dataset, but the model architecture are open sourced from Projected-Gan and Real-ESRGAN respectively.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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