Skip to content

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

License

Notifications You must be signed in to change notification settings

brain-research/ncp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Noise Contrastive Priors

This project contains the source code for Noise Contrastive Priors (NCP) by Danijar Hafner, Dustin Tran, Alex Irpan, Timothy Lillicrap, James Davidson.

Running the code

Install dependencies:

pip3 install numpy tensorflow tensorflow_probability matplotlib ruamel.yaml

Active learning on the toy data set:

python3 -m ncp.scripts.toy_active --seeds 20 --logdir /path/to/logdir

Active learning on the flights delay data set:

python3 -m ncp.scripts.flights_active \
  --seeds 10 \
  --dataset /path/to/dataset \
  --logdir /path/to/logdir

The data set path should be a file prefix for four Numpy files named <dataset>-train-inputs.npy, <dataset>-train-targets.npy, <dataset>-test-inputs.npy, <dataset>-test-targets.npy.

Releases

No releases published

Packages

No packages published

Languages