PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
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Updated
Feb 25, 2024 - Python
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
LeBLEU: Levenshtein/Letter-edit BLEU, N-gram-based Translation Evaluation Score for Morphologically Complex Languages
A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
Metric evaluator for Automatic Speech Recognition using the HATS dataset
Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision and recall, and stochastic gradient descent for optimization in Python.
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