evaluation-metric

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

Zone Evaluation: Revealing Spatial Bias in Object Detection (TPAMI 2024)

A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.

[SIGGRAPH2026] StyleID : Stylization-Agnostic Identity Encoder

Unofficial Implementation of Fréchet Distance with DINOv2 backbone in Pytorch.

MATLAB toolbox for evaluating dynamic link prediction accuracy

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

Evaluation of the Models (Regression and Classification)

Information Retrieval Systems (e.g. Search Engines) evaluation metrics in R.

Source code from the AUCCalculator jar (http://mark.goadrich.com/programs/AUC).

Research @ SASA

Using A/B test to evaluate business decisions for Udacity

Detects LLM prompt/model regressions before they ship — multi-provider eval, LLM-as-judge, drift monitoring, and CI/CD integration.

The main goal as a machine learning researcher is to carry out data exploration, data cleaning, feature extraction, and developing robust machine learning algorithms that would aid them in the department.

Application of machine learning in Python | Coursera

PAM: Paraphrase AMR-Centric Evaluation Metric (ACL Findings 2025)

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.