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Is your feature request related to a problem? Please describe.
Currently, the timm library lacks implementations for Variational Autoencoder (VAE) and Vector Quantized VAE (VQ-VAE) models. Users looking to utilize these autoencoder architectures may find it inconvenient to implement them from scratch or integrate external implementations into their projects.
Describe the solution you'd like
I would like to request the addition of Variational Autoencoder (VAE) and Vector Quantized VAE (VQ-VAE) models to the timm library. This would involve creating modules for these autoencoder architectures, ensuring they adhere to the existing timm standards for simplicity and compatibility.
Describe alternatives you've considered
Users can currently implement VAE and VQ-VAE models from scratch or use external implementations from other libraries such as diffusener. However, having native support for these models in the timm library would provide a more streamlined and integrated experience for users.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Currently, the timm library lacks implementations for Variational Autoencoder (VAE) and Vector Quantized VAE (VQ-VAE) models. Users looking to utilize these autoencoder architectures may find it inconvenient to implement them from scratch or integrate external implementations into their projects.
Describe the solution you'd like
I would like to request the addition of Variational Autoencoder (VAE) and Vector Quantized VAE (VQ-VAE) models to the timm library. This would involve creating modules for these autoencoder architectures, ensuring they adhere to the existing timm standards for simplicity and compatibility.
Describe alternatives you've considered
Users can currently implement VAE and VQ-VAE models from scratch or use external implementations from other libraries such as diffusener. However, having native support for these models in the timm library would provide a more streamlined and integrated experience for users.
The text was updated successfully, but these errors were encountered: