lspvic/jupyter_tensorboard
A Jupyter notebook extension that embeds TensorBoard visualization within Jupyter interfaces.
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This package provides a Jupyter server extension that integrates TensorBoard directly into Jupyter Notebook, eliminating the need to run TensorBoard from the command line. It allows users to start, manage, and stop multiple TensorBoard instances from within Jupyter, and leverages the existing Jupyter port so no additional port forwarding is needed for remote servers. The primary requirement is having TensorFlow (version >=1.3.0) installed, as TensorBoard is a dependency of TensorFlow.
Frequently asked
- What is lspvic/jupyter_tensorboard?
- A Jupyter notebook extension that embeds TensorBoard visualization within Jupyter interfaces.
- Is jupyter_tensorboard open source?
- Yes — lspvic/jupyter_tensorboard is open source, released under the MIT license.
- What language is jupyter_tensorboard written in?
- lspvic/jupyter_tensorboard is primarily written in Python.
- How popular is jupyter_tensorboard?
- lspvic/jupyter_tensorboard has 461 stars on GitHub.
- Where can I find jupyter_tensorboard?
- lspvic/jupyter_tensorboard is on GitHub at https://github.com/lspvic/jupyter_tensorboard.