pytask VS benchmark_VAE

Compare pytask vs benchmark_VAE and see what are their differences.

pytask

pytask is a workflow management system that facilitates reproducible data analyses. (by pytask-dev)
pytask reproducible-research scientific-workflows
Source Code
pytask-dev.readthedocs.io
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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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pytask benchmark_VAE
1 4
102 1,695
5.0% -
9.2 6.1
2 days ago about 1 month ago
Python Python
GNU General Public License v3.0 or later 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.
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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.

pytask

Posts with mentions or reviews of pytask. 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 pytask and benchmark_VAE you can also consider the following projects:

EvalAI - :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

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

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

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

torch-fidelity - High-fidelity performance metrics for generative models 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!

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 vs EvalAI benchmark_VAE vs Awesome-VAEs pytask vs disentangling-vae benchmark_VAE vs PyTorch-VAE pytask vs torch-fidelity 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