Pure Python dashboard for monitoring deep learning experiments (a.k.a. TensorBoard clone for PyTorch, without a web browser)

The main OverBoard GUI uses Python 3; however, experiments can be logged from both Python 2 and 3 scripts.

The main dependencies are PyQt 5 and PyQtGraph. These can be installed as follows:

• With Conda: conda install pyqt pyqtgraph -c anaconda

• With pip: pip install pyqt5 pyqtgraph

Finally, OverBoard itself can be installed with: pip install overboard

• Main interface: python3 -m overboard <logs-directory>

• Logging experiments is simple:

from overboard import Logger

with Logger('./logs', ['loss', 'error]) as logger:
  for iteration in range(100):
    logger.append({'loss': 0, 'error': 0})

See the examples directory for more details.

• examples/synthetic.py: Generate some test logs.
• examples/mnist.py: The mandatory MNIST example.

João Henriques