PyTorch-VAE VS minimal_VAE_on_Mario

Compare PyTorch-VAE vs minimal_VAE_on_Mario and see what are their differences.

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PyTorch-VAE minimal_VAE_on_Mario
5 1
5,989 15
- -
0.0 3.5
7 months ago about 1 year ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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PyTorch-VAE

Posts with mentions or reviews of PyTorch-VAE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

minimal_VAE_on_Mario

Posts with mentions or reviews of minimal_VAE_on_Mario. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PyTorch-VAE and minimal_VAE_on_Mario you can also consider the following projects:

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices

pytorch-vqvae - Vector Quantized VAEs - PyTorch Implementation

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

torch-metrics - Metrics for model evaluation in pytorch