Chi provides high-level operations for writing and visualizing experiments
Experiment Scripts can also be defined via decorator. When run from the command line the function arguments are translated into command line parameters.
@chi.experiment
def my_experiment(logdir, a=0.5):
print(logdir)
...If no logdir is specified it will generate a new one. See examples/experiments.py for the full example
For a more interesting experiment see the Wasserstein GAN example.
Chiboard is a browser based dashboard for managing experiments. Start it with chiboard.
Clicking on an experiment card leads to a detail page about that experiment which automatically spins up and embeds a TensorBoard:
See chi/board for a full overview.
Requires Python 3.6
git clone git@github.com:rmst/chi.git
pip install -e chi
The foundations for this work have been developed during projects at the following institutes.
- Reasoning and Learning Lab (RLLab) at McGill University in Canada
- Montreal Institute for Learning Algorithms (MILA) in Canada
- Intelligent Autonomous Systems Lab (IAS) at TU-Darmstadt in Germany
The structures of this repo and readme were inspired by Keras-RL and Keras respectively.