stylegan2-flax-tpu VS tpu-starter

Compare stylegan2-flax-tpu vs tpu-starter and see what are their differences.

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stylegan2-flax-tpu tpu-starter
10 1
130 456
0.8% -
0.0 5.1
over 1 year ago 7 months ago
Python Python
- Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

stylegan2-flax-tpu

Posts with mentions or reviews of stylegan2-flax-tpu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-23.
  • AI Real-Time Human Full-Body Photo Generator
    2 projects | news.ycombinator.com | 23 Aug 2023
    I’ll take this opportunity to mention our research scaling StyleGAN 2 to larger datasets (using LAION) on food images, leveraging free TPU compute through the TRC program.

    We trained for 36 days on a v4-8 on 558k images.

    https://nyx-ai.github.io/stylegan2-flax-tpu/

    We were hopeful GANs would beat diffusion models when trained on specific domains. But we’ve now switched to Stable Diffusion and Dreambooth training which has proven more much efficient for this purpose.

    I still have hopes for GANs! I miss their insane inference speed.

  • This Food Does Not Exist
    1 project | /r/MediaSynthesis | 27 Oct 2022
  • [P] This Food Does Not Exist, Updated
    1 project | /r/MachineLearning | 27 Oct 2022
    https://nyx-ai.github.io/stylegan2-flax-tpu
  • Show HN: Food Does Not Exist, Updated
    1 project | news.ycombinator.com | 27 Oct 2022
    https://nyx-ai.github.io/stylegan2-flax-tpu

    This is an incremental update on the work we shared 3 months ago: https://news.ycombinator.com/item?id=32167704

    We keep scaling up StyleGAN2 training using more data, larger models, and more compute. In this release we open-source a 5-class model able to generate images of burgers, cheesecakes, cocktails, cookies, and sushis at resolution 512x512.

    This research is part of the technology underlying our AI-generated photography platform Nyx.gallery that we shared here 2 weeks ago: https://news.ycombinator.com/item?id=33179730

    It is also part of an academic research into data augmentation using synthetic methods in partnership with the Food & You project (https://www.foodandyou.org/).

  • [P] Towards photorealistic AI images
    2 projects | /r/MachineLearning | 13 Oct 2022
    This is a continuation of our work on "This Food Does Not Exist" (Reddit discussion, Github, checkpoints).
  • Show HN: AI-Generated Photography
    1 project | news.ycombinator.com | 12 Oct 2022
    Models for the 256px food images were previously released here:

    https://github.com/nyx-ai/stylegan2-flax-tpu

  • Food that doesn't exist (StyleGAN2)
    1 project | /r/MediaSynthesis | 27 Sep 2022
    This is the continuation of our work on "This Food Does Not Exist", using old-school StyleGAN2 with more data and larger models to generate bigger images (now 512x512 instead of 256x256).
  • Asuka neural net image samples (from NovelAI's in-progress tag-to-image SD model)
    1 project | /r/Asuka | 21 Sep 2022
    I believe you had seen it before on HN: https://nyx-ai.github.io/stylegan2-flax-tpu/
  • [P] This Food Does Not Exist
    1 project | /r/MachineLearning | 22 Jul 2022
    📘 Repo: https://github.com/nyx-ai/stylegan2-flax-tpu

tpu-starter

Posts with mentions or reviews of tpu-starter. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stylegan2-flax-tpu and tpu-starter you can also consider the following projects:

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

cloudimized - Google Cloud Platform (GCP) configuration scanning tool

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.