paragon VS benchmark_VAE

Compare paragon vs benchmark_VAE and see what are their differences.

paragon

A lightweight command line benchmarking utility (by terror)
Benchmarking python-library
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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
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paragon benchmark_VAE
3 4
13 1,687
- -
0.0 6.1
almost 3 years ago 22 days ago
Python Python
MIT License 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.

paragon

Posts with mentions or reviews of paragon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-26.

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 paragon and benchmark_VAE you can also consider the following projects:

Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence

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.

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

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

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

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 - A minimal VAE trained on Super Mario Bros levels.

language-benchmarks - A simple benchmark system for compiled and interpreted languages.

pytask - pytask is a workflow management system that facilitates reproducible data analyses.

memorization - Code for "On Memorization in Probabilistic Deep Generative Models"

paragon vs Merlion benchmark_VAE vs Awesome-VAEs benchmark_VAE vs PyTorch-VAE benchmark_VAE vs scvi-tools benchmark_VAE vs fastero benchmark_VAE vs disentangling-vae benchmark_VAE vs nflows benchmark_VAE vs cloud_benchmarker benchmark_VAE vs minimal_VAE_on_Mario benchmark_VAE vs language-benchmarks benchmark_VAE vs pytask benchmark_VAE vs memorization