language-benchmarks
benchmark_VAE
| language-benchmarks | benchmark_VAE | |
|---|---|---|
| 1 | 4 | |
| 23 | 1,687 | |
| - | - | |
| 1.8 | 6.1 | |
| almost 3 years ago | 26 days ago | |
| Perl | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
language-benchmarks
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Little-Lang
Tcl was historically very slow compared to, for example, Perl. Especially for synthetic benchmarks. However, since it's so easy to interop with C, it didn't seem to matter much in the real world. You just put anything performance sensitive in C and left the bits that didn't matter in tcl. Some benchmarks: https://github.com/trizen/language-benchmarks
benchmark_VAE
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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
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[P] Pythae - Unifying generative autoencoder implementations in Python
Code for https://arxiv.org/abs/2206.08309 found: https://github.com/clementchadebec/benchmark_VAE
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[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?
Wren - The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
gccontent-benchmark - Benchmarking different languages for a simple bioinformatics task (Counting the GC fraction of DNA in a FASTA file)
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
perl-validator-benchmark - Benchmark of Perl validation frameworks. Example results -> https://bbrtj.eu/blog/article/validation-frameworks-benchmark
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
tcl - The Tcl Programming Language
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.