torch-metrics
PyTorch-VAE
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torch-metrics | PyTorch-VAE | |
---|---|---|
2 | 5 | |
109 | 5,958 | |
- | - | |
1.8 | 0.0 | |
about 3 years ago | 6 months ago | |
Python | Python | |
MIT 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.
torch-metrics
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Tracking mentions began in Dec 2020.
PyTorch-VAE
-
VAEs
Face embedding with VAEs https://github.com/AntixK/PyTorch-VAE
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
ignite - High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
ALAE - [CVPR2020] Adversarial Latent Autoencoders
qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
onemetric - One Metrics Library to Rule Them All!
Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.