Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ritchieng/dlami
A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
https://github.com/ritchieng/dlami
ami aws cuda cudnn5 keras python tensorflow ubuntu
Last synced: 5 days ago
JSON representation
A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
- Host: GitHub
- URL: https://github.com/ritchieng/dlami
- Owner: ritchieng
- License: mit
- Created: 2016-10-10T03:19:33.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2021-07-22T06:07:11.000Z (over 3 years ago)
- Last Synced: 2024-10-23T00:03:47.244Z (14 days ago)
- Topics: ami, aws, cuda, cudnn5, keras, python, tensorflow, ubuntu
- Homepage:
- Size: 65.4 KB
- Stars: 235
- Watchers: 18
- Forks: 32
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
## Deprecation Note
This AMI is officially deprecated as the ecosystem has evolved and many stable and updated versions are available currently from official channels.
## How to find?
Under community AMI, search for `DLAMI.V1`. It is currently only available in `Oregon`.
## DLAMI.V1 (latest stable AMI)
- Python 2.7 and Python 3.5
- PyTorch 0.1.12
- TensorFlow 1.0.1
- Theano 0.8.2
- Keras 2.0.4
- MXNet 0.9.3
- Lua
- Torch
- CNTK
- Caffe
- CUDA release 7.5
- CuDNN 5.1
## FAQs (Relating to Driver Issues)
1. Error: `Failed to initialize NVML: Driver/library version mismatch`
- Run `sudo reboot`.
2. Error: `NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.`
- Run `sudo apt-get update`.
3. Error: `Mismatch of Kernel with DSO`
- Run `sudo reboot`.
## Regions (DLAMI.V1)
- Oregon `ami-7e3a5b1e`
## DLAMI Instance Specifications
- 50 GB EBS
- Can be used on any GPU instances including the new p2 instances.
- User: ec2-user
- For example, when you ssh into your instance you would key in `ssh -i name_of_key.pem ec2-user@public_ip_or_dns`
## Have a bug to report?
Raise an issue here and we'll update DLAMI to make sure it works or enable it across different regions.
## Information
This was maintained by [Ritchie Ng](http://www.ritchieng.com/) and [Jie Fu](http://bigaidream.github.io/) from NExT Search Centre, NUS Smart Systems Institute, National University of Singapore.
And I would like to thank Amazon for their donation of AWS credits for our research that led to this useful byproduct deployed by people across the world.
## License
MIT