https://github.com/robinka/metavae
Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples
https://github.com/robinka/metavae
deep-learning few-shot-learning generative-models machine-learning maml metalearning neural-network one-shot-learning tensorflow vae
Last synced: 2 months ago
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Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples
- Host: GitHub
- URL: https://github.com/robinka/metavae
- Owner: RobinKa
- License: mit
- Created: 2018-12-08T18:41:56.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-16T21:02:46.000Z (over 6 years ago)
- Last Synced: 2025-07-30T20:38:22.356Z (2 months ago)
- Topics: deep-learning, few-shot-learning, generative-models, machine-learning, maml, metalearning, neural-network, one-shot-learning, tensorflow, vae
- Language: Python
- Size: 72.3 KB
- Stars: 11
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- License: LICENSE