https://github.com/l0sg/nanoflow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
https://github.com/l0sg/nanoflow
deep-generative-model density-estimation generative-models normalizing-flows probabilistic-models pytorch speech-synthesis
Last synced: 8 months ago
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PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
- Host: GitHub
- URL: https://github.com/l0sg/nanoflow
- Owner: L0SG
- License: bsd-3-clause
- Created: 2020-10-20T01:36:29.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-12-28T23:08:47.000Z (about 5 years ago)
- Last Synced: 2023-03-05T11:58:52.837Z (about 3 years ago)
- Topics: deep-generative-model, density-estimation, generative-models, normalizing-flows, probabilistic-models, pytorch, speech-synthesis
- Language: Python
- Homepage: https://arxiv.org/abs/2006.06280
- Size: 1.61 MB
- Stars: 64
- Watchers: 4
- Forks: 4
- Open Issues: 0