memorization
Code for "On Memorization in Probabilistic Deep Generative Models" (by alan-turing-institute)
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations (by YannDubs)
memorization | disentangling-vae | |
---|---|---|
1 | 1 | |
5 | 766 | |
- | - | |
10.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
memorization
Posts with mentions or reviews of memorization.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] DALLĀ·E to be made available as API, OpenAI to give users full ownership rights to generated images
Codex is not technically copy pasting; it is generating a new output that is (almost) exactly the same, or indistinguishable on the eyes of a human, to the input. Sounds like semantics, but there is no actual copying. You already have music generating algorithms that can also generate short samples that are indistinguishable to the inputs (memorisation). Dall-E 2 is not there yet, but we are close to prompting "Original Mona Lisa painting" and be given back the original Mona Lisa painting with striking similarities. There are already several generative models of images that can mostly memorise inputs used to train it (quick example found using google: https://github.com/alan-turing-institute/memorization).
disentangling-vae
Posts with mentions or reviews of disentangling-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.
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[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
What are some alternatives?
When comparing memorization and disentangling-vae you can also consider the following projects:
hydra-zen - Create powerful Hydra applications without the yaml files and boilerplate code.
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.