🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.
Zone Evaluation: Revealing Spatial Bias in Object Detection
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
MATLAB toolbox for evaluating dynamic link prediction accuracy
A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
Metric evaluator for Automatic Speech Recognition using the HATS dataset
Information Retrieval Systems (e.g. Search Engines) evaluation metrics in R.
Evaluation of the Models (Regression and Classification)
Source code from the AUCCalculator jar (http://mark.goadrich.com/programs/AUC).
Using A/B test to evaluate business decisions for Udacity
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.
A repository of the heart disease paper published on Springer
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
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