MRSAIL-Mini-Robotics-Software-AI-Lab/GANVAS-models
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
This project helps machine learning researchers and practitioners explore and experiment with different types of generative models. You can input various image datasets like shapes, colored shapes, MNIST, or custom images, and it will output trained generative models capable of creating new, similar images. It's designed for individuals focused on advancing or applying generative AI.
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Use this if you are an AI researcher or machine learning engineer looking to train, evaluate, and compare autoregressive models, normalized flows, VAEs, or score-based models for image generation.
Not ideal if you are looking for an out-of-the-box solution to generate images without deep technical knowledge of machine learning or generative models.
Stars
10
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3
Language
Python
License
MIT
Category
Last pushed
Jan 25, 2022
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