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https://github.com/jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
https://github.com/jmtomczak/intro_dgm
autoregressive-modeling deep-generative-modelling deep-learning energy-based-model flow-based-modeling generative-adversarial-network generative-ai neural-compression pytorch score-based-generative-modeling variational-autoencoder
Last synced: about 2 months ago
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"Deep Generative Modeling": Introductory Examples
- Host: GitHub
- URL: https://github.com/jmtomczak/intro_dgm
- Owner: jmtomczak
- License: mit
- Created: 2021-01-23T10:21:05.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-25T15:48:39.000Z (5 months ago)
- Last Synced: 2024-06-02T01:32:47.777Z (4 months ago)
- Topics: autoregressive-modeling, deep-generative-modelling, deep-learning, energy-based-model, flow-based-modeling, generative-adversarial-network, generative-ai, neural-compression, pytorch, score-based-generative-modeling, variational-autoencoder
- Language: Jupyter Notebook
- Homepage:
- Size: 7.5 MB
- Stars: 902
- Watchers: 26
- Forks: 153
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE