minimal_VAE_on_Mario VS benchmark_VAE

Compare minimal_VAE_on_Mario vs benchmark_VAE and see what are their differences.

minimal_VAE_on_Mario

A minimal VAE trained on Super Mario Bros levels. (by miguelgondu)
Pytorch super-mario-bros vae torch-distributions
Source Code
Suggest alternative
Edit details

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022) (by clementchadebec)
vae Benchmarking beta-vae Comparison normalizing-flows pixel-cnn Pytorch Reproducibility reproducible-research vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
minimal_VAE_on_Mario benchmark_VAE
1 4
15 1,695
- -
3.5 6.1
about 1 year ago about 1 month 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.
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. We have used some of these posts to build our list of alternatives and similar projects.

benchmark_VAE

Posts with mentions or reviews of benchmark_VAE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing minimal_VAE_on_Mario and benchmark_VAE 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

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

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

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

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

pytorch-vqvae - Vector Quantized VAEs - PyTorch Implementation

fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!

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

nflows - Normalizing flows in PyTorch

cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.

minimal_VAE_on_Mario vs Parallel-Tacotron2 benchmark_VAE vs Awesome-VAEs minimal_VAE_on_Mario vs PyTorch-VAE benchmark_VAE vs PyTorch-VAE minimal_VAE_on_Mario vs disentangling-vae benchmark_VAE vs scvi-tools minimal_VAE_on_Mario vs pytorch-vqvae benchmark_VAE vs fastero minimal_VAE_on_Mario vs Super-mario-bros-PPO-pytorch benchmark_VAE vs disentangling-vae benchmark_VAE vs nflows benchmark_VAE vs cloud_benchmarker