Neuro Platform puts data, models, training, and tuning at your fingertips. The platform allows you to focus on model development tasks at hand by managing critical aspects of underlying infrastructure and system integration, including resource allocation, storage and image management, sharing, secure web and terminal access to running jobs.
The key components of Neuro are:
deepoDocker image and contains the most popular ML tools (Tensorflow, Keras, PyTorch, TensorBoard, Jupyter, and JupyterLab).
Environments, storage volumes, and jobs can be published and shared among users.
Each time you start a job, Neuro will:
All your interactions with the platform are happening using neuro, the command-line interface (CLI) tool, in conjunction with
https://neu.ro web interface.