ikostrikov / Pytorch Flows
Licence: mit
PyTorch implementations of algorithms for density estimation
Stars: ✭ 439
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pytorch-flows
A PyTorch implementations of Masked Autoregressive Flow and some other invertible transformations from Glow: Generative Flow with Invertible 1x1 Convolutions and Density estimation using Real NVP.
For MAF, I'm getting results similar to ones reported in the paper. GLOW requires some work.
Run
python main.py --dataset POWER
Available datasets are POWER, GAS, HEPMASS, MINIBONE and BSDS300. For the moment, I removed MNIST and CIFAR10 because I have plans to add pixel-based models later.
Datasets
The datasets are taken from the original MAF repository. Follow the instructions to get them.
Tests
Tests check invertibility, you can run them as
pytest flow_test.py
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