DakshIdnani / Pytorch Nice
Licence: mit
Implementation of non-linear independent components estimation (NICE) in pytorch
Stars: ✭ 31
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PyTorch implementation of NICE
Original paper:
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, Yoshua Bengio
This implementation replicates the experiment on the MNIST dataset.
A test-set log likelihood of 1933.89 was recorded after 70 epochs with the current hyperparameters. The original paper reported a similar test-set log likelihood, 1980.50.
To train this on your own system, install NumPy and PyTorch, edit config.py, and run train.py.
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