Jetware - package: Monit

A pre-configured and ready-to-use Node.js 7 web stack with Nginx.

nodejs:7.9.0, min-nginx:1.11.2, selfmanagement_preset, development_preset, express_js_blank:1

aise / PyTorch 0.3 Python 3.6 NVidia GPU CUDA 9 Production

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.

pytorch:0.3.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, selfmanagement_preset, development_preset:1

aise / PyTorch 0.3 Python 3.6 CPU Production

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.

pytorch:0.3.0, python:3.6.3, selfmanagement_preset, development_preset:1

aise / PyTorch 0.3 Python 2.7 NVidia GPU CUDA 9

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.

pytorch:0.3.0, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, selfmanagement_preset, development_preset:1

aise / PyTorch 0.3 Python 2.7 CPU Production

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.

pytorch:0.3.0, python:2.7.14, selfmanagement_preset, development_preset:1