GitHub / PratikHdhameliya / Variational_Autoencoder_for_Deep_Generative_Modeling
Variational Autoencoder (VAE) project using PyTorch, showcasing generative modeling through Fashion MNIST data encoding, decoding, and latent space exploration. Explore tasks like model implementation, training, visualization, and image generation.
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PURL: pkg:github/PratikHdhameliya/Variational_Autoencoder_for_Deep_Generative_Modeling
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 2.18 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: image-generation, latent-space-exploration, unsupervised-learning, vae-fashion-mnist, variational-autoencoders