Specifying and executing multiverse analysis
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Updated
Apr 25, 2021 - Python
Specifying and executing multiverse analysis
A Python library to determine what exactly the user ran at the command line, along with default values, and any transformations that happened after parsing arguments.
Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.
A Python package enabling the development of robust automation scripts that are subdivided into stages.
A Python Interface to Reproducibility Measures of System-Oriented IR Experiments
A flexible evaluation platform to enable researchers to conduct replicable subjective evaluation
Pyhanami: A Python tool for evaluating the replicability and scientific skill of Earth System Models (ESMs) through statistical testing and climate diagnostics.
Wide Residual Networks in Keras and PyTorch
A Python package that allows you to interact with the shell, while logging various metadata, statistics, and trace information.
Preregistered multi-agent protocol evaluating a typed AI decision engine as a real-time probabilistic forecaster of football (1X2, 17 score buckets, corners, cards) — point-in-time anti-leakage, fair baselines, clustered inference. Code MIT, docs CC-BY 4.0.
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