benchmark_VAE
language-benchmarks
benchmark_VAE | language-benchmarks | |
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4 | 1 | |
1,695 | 23 | |
- | - | |
6.1 | 1.8 | |
about 1 month ago | about 3 years ago | |
Python | Perl | |
Apache License 2.0 | GNU General Public License v3.0 only |
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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
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
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Wren - The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language.
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
gccontent-benchmark - Benchmarking different languages for a simple bioinformatics task (Counting the GC fraction of DNA in a FASTA file)
scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data
perl-validator-benchmark - Benchmark of Perl validation frameworks. Example results -> https://bbrtj.eu/blog/article/validation-frameworks-benchmark
fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
tcl - The Tcl Programming Language
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.