generative-models and GANVAS-models
These two tools are competitors, as both aim to provide a collection or library of various generative models like GANs and VAEs, offering similar functionalities for synthetic data generation.
About generative-models
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
This collection helps machine learning researchers and practitioners experiment with advanced generative models to create new, synthetic data from existing datasets. You provide an initial dataset of images, text, or other patterns, and the models generate novel, similar outputs. It's designed for those exploring the cutting edge of artificial intelligence for content creation, data augmentation, or anomaly detection.
About GANVAS-models
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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