An extremely fast Python library to calculate the cognitive complexity of Python files, written in Rust.
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Apr 27, 2024 - Rust
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understandability
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This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for understanding its meaning. The model operates on human-annotated corpus of word importance for its training and evaluation. The corpus can be downloaded from: http://latlab.ist.rit.edu/lrec2018
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Mar 24, 2023 - Python
In this research project, we aim to create an environment to gather structured data about machine learning experiments in order to analyze data and algorithmich dependencies.
semantic
machine-learning
reproducible-research
metrics
hyperparameters
reproducibility
understandability
padre
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Nov 17, 2022 - Python
Replication package of the paper titled "Generating Understandable Unit Tests through End-to-End Test Scenario Carving"
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Jul 6, 2023 - HTML
Replication package of the paper titled "Generating Understandable Unit Tests through End-to-End Test Scenario Carving"
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Aug 25, 2023 - HTML
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