https://github.com/amanpriyanshu/energybasedmodels
An energy-based model is a probabilistic model governed by an energy function that describes the probability of a certain state.
https://github.com/amanpriyanshu/energybasedmodels
Last synced: 6 months ago
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An energy-based model is a probabilistic model governed by an energy function that describes the probability of a certain state.
- Host: GitHub
- URL: https://github.com/amanpriyanshu/energybasedmodels
- Owner: AmanPriyanshu
- License: mit
- Created: 2021-08-15T09:35:33.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-16T14:07:52.000Z (about 4 years ago)
- Last Synced: 2025-02-08T17:23:58.258Z (8 months ago)
- Language: Python
- Size: 19.1 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# EnergyBasedModels
An energy-based model is a probabilistic model governed by an energy function that describes the probability of a certain state.
This repository aims to provide streamlined code for fast implementation required during training of such models.
## Targets:
1. Restricted Boltzmann Machines - for Pre-Training
2. Restricted Boltzmann Machines - for Synthetic Data Generation
2. Deep Belief Networks - for Pre-training
3. Deep Belief Networks - for Synthetic Data Generation
## Installation:
`git clone https://github.com/AmanPriyanshu/EnergyBasedModels.git`
## Implementation:
To be filled
# Contributing
When contributing to this repository, please first discuss the change you wish to make via issue,
email, or any other method with the owners of this repository before making a change. We also make
available a [CONTRIBUTING.md](/CONTRIBUTING.md) and [CODE_OF_CONDUCT.md](/CODE_OF_CONDUCT.md) for easy communication and quick issue resolution.