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https://github.com/rist-ro/argo
https://github.com/rist-ro/argo
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/rist-ro/argo
- Owner: rist-ro
- License: mit
- Created: 2020-07-02T08:51:06.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-02-15T23:17:14.000Z (over 1 year ago)
- Last Synced: 2024-07-04T02:13:18.856Z (4 months ago)
- Language: Python
- Size: 936 KB
- Stars: 2
- Watchers: 3
- Forks: 2
- Open Issues: 20
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# argo
Argo is a library for deep learning algorithms based on TensorFlow and Sonnet. The library allows you to train different models (feed-forwards neural networks for regression and classification problems, autoencoders and variational autoencoders, Bayesian neural networks, Helmholtz machines, etc) by specifying their parameters as well as the network topologies in a configuration file. The models can then be trained in parallel in presence of multiple GPUs. The library is easy to expand for alternative models and training algorithms, as well as for different network topologies.
## Installation
Requirements (stable):
* tensorflow-datasets 1.2.0
* tensorflow-estimator 1.14.0
* tensorflow-gpu 1.14.0
* tensorflow-metadata 0.14.0
* tensorflow-probability 0.7.0
* sonnet 1.32
* torchfile
* seaborn
* matplotlib
* numpy
Or:
```bash
pip install -r requirements.txt
```
## How to run the code:
To run the examples provided in the framework (or new ones) one can choose between three separate modes of running:
1. single:
Runs a single instance of the configuration file
```bash
python argo/runTraining.py configFile.conf single
```
1. pool:
Runs a muliple experiments (if defined) from the configuration file
```bash
python argo/runTraining.py configFile.conf pool
```
## Submodules
#### VAE
```bash
python argo/runTraining.py examples/MNISTcontinuous.conf single
```
#### Helmholtz Machine
```bash
python argo/runTraining.py examples/ThreeByThree.conf single
```
#### Prediction
```bash
python argo/runTraining.py examples/GTSRB.conf single
```
How to run the code:
```bash
python3 argo/runTrainingVAE.py configFile.conf single/pool/stats
```
See ConfOptions.conf in examples/ for details regarding meaning of
parameters and logging options.
## License
[MIT](https://choosealicense.com/licenses/mit/)
## Contributors
In alphabetical order.
### Main contributors
* Luigi Malagò
* Csongor Varady
* Riccardo Volpi
### Active contributors
* Alexandra Albu
* Cristian Alecsa
* Norbert Cristian Bereczki
* Robert Colt
* Delia Dumitru
* Alina Enescu
* Petru Hlihor
* Hector Javier Hortua
* Uddhipan Thakur
### Former contributors
* Ria Arora
* Dimitri Marinelli
* Titus Nicolae
* Alexandra Peste
* Marginean Radu
* Septimia Sarbu
## Acknowledgements
The library has been developed in the context of the DeepRiemann project, co-funded by the European Regional Development Fund and the Romanian Government
through the Competitiveness Operational Programme 2014-2020, Action 1.1.4, project ID P_37_714, SMIS code 103321, contract no. 136/27.09.2016.