A Machine Learning based system to detect semantics in the form of semantic label and suggest optimized alternatives for Python and C++ function-based code snippet.Semantic Detection is language agnostic with accuracy above 95% while optimization with accuracy above 85% for both Python and C++.
machine-learning
deep-learning
naive-bayes-classifier
polynomial-regression
code-optimization
cyclomatic-complexity
halstead-metrics
memory-profiling
semantic-detection
universal-approximation-theorem
machine-programming
time-profiling
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Updated
May 5, 2021 - JavaScript