scvi-tools
benchmark_VAE
scvi-tools | benchmark_VAE | |
---|---|---|
2 | 4 | |
1,128 | 1,687 | |
2.3% | - | |
9.4 | 6.1 | |
8 days ago | 24 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
scvi-tools
- Error with scvi
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python for bioinformatics
I use both but I prefere python, its much easier for huge datasets, and a lot of useful tools are only available on python: https://github.com/YosefLab/scvi-tools
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?
seurat - R toolkit for single cell genomics
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.
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
sanbomics_scripts - scripts and notebooks from sanbomics
Roundtrip - Roundtrip: density estimation with deep generative neural networks
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.