Delta: LLM conversation branching
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Dec 30, 2024 - TypeScript
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latent-space-exploration
Here are 5 public repositories matching this topic...
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.
image-generation unsupervised-learning variational-autoencoders vae-fashion-mnist latent-space-exploration
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Dec 16, 2024 - Jupyter Notebook
A PyTorch implementation of a β-Variational Autoencoder (β-VAE) for disentangled representation learning and image generation on the Fashion-MNIST dataset. This repository showcases how β-VAE can achieve disentanglement in its latent space, a crucial concept for interpretability in generative models.
image-reconstruction university-project course-project image-generation convolutional-neural-networks beta-vae variational-autoencoder generative-models fashion-mnist disentangled-representations frechet-inception-distance reparameterization-trick latent-space-exploration
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Oct 31, 2025 - Python
Nanoporous Graphene (NPG) investigation via deep learning
deep-learning stm material-science variational-autoencoders graphene-python scanning-tunnelling-microscopy latent-space-exploration nanoporous-graphene
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May 30, 2025 - Jupyter Notebook
🧵 Learn disentangled representations and generate images using a β-VAE on the Fashion-MNIST dataset with this PyTorch implementation.
image-reconstruction university-project course-project image-generation convolutional-neural-networks beta-vae variational-autoencoder generative-models fashion-mnist disentangled-representations frechet-inception-distance reparameterization-trick latent-space-exploration
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Dec 16, 2025 - Python
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