haipera 0.1.1

Hassle-free configs, logging, and cluster management for research projects.

Haipera: Run Python scripts reproducibly with no-code auto-config

Find the right parameters and track experiments for your model without all the boilerplate.

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What is Haipera?

Haipera is an open-source framework for auto-configurating and performing hyperparameter tuning on your models:

• 🦥 Config files without any code. Automatically probes the source code to generate reproducible config files.
• 🐳 Deploy on virtualenv for reproducible experiments. Takes care of all the virtual environments of your code for maximum reproducibility of experiments.
• 🤖 Setup ablation studies from CLI. Use the command line to directly iterate through hyperparameters.
• ☁️ Hosted on the Cloud (coming soon!). Run everything locally, or send your model to Haipera Cloud for parallel experimentation.

Getting Started

Install haipera:

pip install haipera

Make sure you have a requirements.txt file where script.py or any Python script you want to run is (or alternatively, somewhere in the Git repo for the script).

Generate config files for your model with:

haipera run script.py

This will generate a script.toml file where script.py is.

You can directly 'edit' the config from CLI via:

haipera run script.py --options 123

You can also set up iterative experiments over parameters by:

haipera run script.py --option1 123 124 125 --option2 blue,red,green