GitHub topics: dsprites
google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
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YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Language: Python - Size: 222 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 814 - Forks: 145
Minitechy/betaVAE_variants
beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch
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rpatrik96/ima-vae
This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
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miyosuda/disentangled_vae
Replicating "Understanding disentangling in β-VAE"
Language: Python - Size: 6.93 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 192 - Forks: 38
fjxmlzn/InfoGAN-CR
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Language: Python - Size: 920 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 8
1Konny/Beta-VAE
Pytorch implementation of β-VAE
Language: Python - Size: 3.86 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 466 - Forks: 119
1Konny/FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Language: Python - Size: 7.83 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 242 - Forks: 48
zfountas/deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
Language: Python - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 11
nicolasigor/FactorVAE
A TensorFlow implementation of FactorVAE, proposed in "Disentangling by Factorising" by Kim et al.
Language: Python - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 3
saashd/controlVAE
ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis
Language: Jupyter Notebook - Size: 205 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
