minimal_VAE_on_Mario
A minimal VAE trained on Super Mario Bros levels. (by miguelgondu)
pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation (by ritheshkumar95)
minimal_VAE_on_Mario | pytorch-vqvae | |
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1 | 1 | |
15 | 791 | |
- | - | |
3.5 | 0.0 | |
about 1 year ago | 10 months ago | |
Python | Python | |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
minimal_VAE_on_Mario
Posts with mentions or reviews of minimal_VAE_on_Mario.
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pytorch-vqvae
Posts with mentions or reviews of pytorch-vqvae.
We have used some of these posts to build our list of alternatives
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D Simple Questions Thread December 20 2020
So you'd implement the codebook with NN.embedding, like here https://github.com/ritheshkumar95/pytorch-vqvae/blob/master/modules.py#L70
What are some alternatives?
When comparing minimal_VAE_on_Mario and pytorch-vqvae you can also consider the following projects:
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.
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros