disentangling-vae
minimal_VAE_on_Mario
| disentangling-vae | minimal_VAE_on_Mario | |
|---|---|---|
| 1 | 1 | |
| 766 | 15 | |
| - | - | |
| 0.0 | 3.5 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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disentangling-vae
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[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
minimal_VAE_on_Mario
What are some alternatives?
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
classification - Classification of the MNIST dataset using various Deep Learning techniques
pytorch-vqvae - Vector Quantized VAEs - PyTorch Implementation
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.