Role
Appliances
Machine learning education
The pre-configured and ready-to-use runtime environment for the Open Machine Learning Course, 2018. It includes Python 3.6, TensorFlow 1.4, Keras 2, XGBoost, LightGBM and Vowpal Wabbit. The software stack is optimized for running on CPU.
Course
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 2.7, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on NVidia GPU.
Tensorflow
Python
Jupyter notebook
Cuda
Cudnn
Nvidia drivers
Selfmanagement
Preset
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 3.6, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on NVidia GPU.
Tensorflow
Python
Jupyter notebook
Cuda
Cudnn
Nvidia drivers
Selfmanagement
Preset
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 3.6, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on CPU.
Tensorflow
Python
Jupyter notebook
Selfmanagement
Preset
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 2.7, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on CPU.
Tensorflow
Python
Jupyter notebook
Selfmanagement
Preset
Machine learning
A pre-configured and fully integrated software stack with Theano, a numerical computation library for Python, 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.
Theano
Python
Cuda
Cudnn
Nvidia drivers
Preset
Machine learning
A pre-configured and fully integrated software stack with Theano, a numerical computation library for Python, 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.
Theano
Python
Cuda
Cudnn
Nvidia drivers
Preset