cloud_benchmarker
Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time. (by Dicklesworthstone)
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022) (by clementchadebec)
cloud_benchmarker | benchmark_VAE | |
---|---|---|
4 | 4 | |
32 | 1,695 | |
- | - | |
6.9 | 6.1 | |
8 months 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.
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.
cloud_benchmarker
Posts with mentions or reviews of cloud_benchmarker.
We have used some of these posts to build our list of alternatives
and similar projects.
- Show HN: Cloud Benchmarker: See how fast your cloud instances are for real
- Cloud Benchmarker: See how fast your cloud instances are for real!
-
Cloud Benchmarker: See how fast your cloud instances are for real! (Python Open-Source)
GitHub Repo: https://github.com/Dicklesworthstone/cloud_benchmarker
- Show HN: Cloud Benchmarker: See how fast your cloud instances are
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.
-
Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations
Continue reading | Checkout the paper, github
-
[P] Pythae - Unifying generative autoencoder implementations in Python
Code for https://arxiv.org/abs/2206.08309 found: https://github.com/clementchadebec/benchmark_VAE
-
[P] Python library for Variational Autoencoder benchmarking
Github link: https://github.com/clementchadebec/benchmark_VAE
- Python library for Variational Autoencoder Benchmarking
What are some alternatives?
When comparing cloud_benchmarker and benchmark_VAE you can also consider the following projects:
pytest-benchmark - py.test fixture for benchmarking code
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
pyperf - Toolkit to run Python benchmarks
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.