https://github.com/bouchardlab/contrastive_predictive_coding
This is a modified version of contrastive predictive coding on time series
https://github.com/bouchardlab/contrastive_predictive_coding
Science Score: 23.0%
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Low similarity (3.3%) to scientific vocabulary
Last synced: 10 months ago
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Repository
This is a modified version of contrastive predictive coding on time series
Basic Info
- Host: GitHub
- Owner: BouchardLab
- Language: Python
- Default Branch: main
- Size: 3.07 MB
Statistics
- Stars: 1
- Watchers: 9
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 4 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.md
Contrastive Predictive Coding
Implementation of PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018).
## Usage
python main.py
Set the experiment's configuration parameters in the config/audio folder's files.
This implementation uses sacred to manage experiments.
Owner
- Name: Bouchard Lab GitHub
- Login: BouchardLab
- Kind: organization
- Email: kebouchard@berkeley.edu
- Website: https://bouchardlab.lbl.gov/
- Repositories: 10
- Profile: https://github.com/BouchardLab
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3
Dependencies
environment.yml
pypi
- black ==19.10b0
- decorator ==4.4.0
- docopt ==0.6.2
- gdown ==3.10.1
- imageio ==2.5.0
- jsonpickle ==1.3
- munch ==2.5.0
- networkx ==2.3
- protobuf ==3.7.1
- py-cpuinfo ==5.0.0
- pymongo ==3.10.1
- pywavelets ==1.0.3
- pyyaml ==5.3
- sacred ==0.8.1
- scikit-image ==0.15.0
- toml ==0.10.0
- wrapt ==1.12.0