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Generative AI Models · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesGenerative AI Models

Pre-trained models and scheduling algorithms specifically designed for generating synthetic data, images, or complex patterns.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Generative AI Models. Refine with filters or upvote what's useful.

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  • CompVis/stable-diffusion

    CompVis/stable-diffusion

    72,380GitHubView on GitHub↗

    Stable Diffusion is a generative machine learning pipeline that synthesizes high-resolution visual content by performing iterative denoising within a compressed latent space. By mapping natural language embeddings into pixel outputs through conditioned probabilistic processes, the framework enables the generation of im

    Jupyter Notebook
  • keras-team/keras

    keras-team/keras

    63,858GitHubView on GitHub↗

    Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di

    Pythondata-sciencedeep-learningjax

Explore sub-tags

  • Denoising SchedulersMathematical solvers that manage the iterative refinement process in diffusion-based generative models.
  • Diffusion Image GeneratorsImplementations of diffusion-based architectures for synthesizing visual content from textual descriptions.
  • Diffusion ModelsStandardized interfaces for initializing and running image synthesis models based on diffusion architectures.
  • Latent Space Diffusion Models
Generative models that perform iterative denoising within a compressed low-dimensional manifold to synthesize high-fidelity data.
  • Latent Space Generative ModelsModels that perform generative tasks by manipulating compressed latent representations.