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evaluation-metric

Here are 19 public repositories matching this topic...

ZhaoJ9014 / Multi-Human-Parsing

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

semantic parsing detection annotations segmentation nus evaluation-metric human-parsing instance-segmentation scene-understanding multi-human-parsing group-behavior-analysis human-centric-analysis mhp

Updated
JavaScript

marcojira / fld

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

generative-adversarial-network generative-model evaluation-metric memorization overfitting fid diffusion-models

Updated
Python

Zzh-tju / ZoneEval

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

computer-vision detection pytorch object-detection evaluation-metric mmdetection yolov5 label-assignment yolov8 spatial-equilibrium zone-evaluation

Updated
Jupyter Notebook

kenlimmj / rouge

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

nlp summarization rouge bootstrapping-statistics evaluation-metric jackknifing

Updated
JavaScript

justin4ai / FD-DINOv2

Unofficial Implementation of Fréchet Distance with DINOv2 backbone in Pytorch.

evaluation-metric frechet-distance diffusion-models dino-v2 dino-vit

Updated
Python

IdeasLabUT / Dynamic-Link-Prediction-Evaluation

MATLAB toolbox for evaluating dynamic link prediction accuracy

complex-networks network-analysis evaluation-metric link-prediction dynamic-networks

Updated
MATLAB

Waino / LeBLEU

LeBLEU: Levenshtein/Letter-edit BLEU, N-gram-based Translation Evaluation Score for Morphologically Complex Languages

python machine-translation evaluation levenshtein-distance evaluation-metric

Updated
Python

UniversalPropositions / PriMeSRL-Eval

A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

evaluation-metric semantic-role-labeling

Updated
Python

thibault-roux / metric-evaluator

Metric evaluator for Automatic Speech Recognition using the HATS dataset

evaluation speech speech-recognition speech-to-text metric speech-processing evaluation-metric asr

Updated
Python

iamkirankumaryadav / Evaluation

Evaluation of the Models (Regression and Classification)

python random-forest scikit-learn cross-validation regression classification confusion-matrix evaluation-metric model-evaluation randomforestregressor randomforestclassifier

Updated
Jupyter Notebook

syfantid / Search-Engine-Evaluation-Metrics

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

search-engine r metrics position gain dcg score relevance evaluation-metric

Updated
R

Arun-George-Zachariah / AUC

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

java machine-learning auc evaluation-metric

Updated
Java

jtsou / A-B-Test

Using A/B test to evaluate business decisions for Udacity

ab-testing evaluation-metric

Updated

nanli-7 / Enron-Emails

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.

classifier machine-learning machine-learning-algorithms cross-validation feature-selection feature-engineering financial-data evaluation-metric fraud-detection

Updated
Python

gbganalyst / Heart-disease-paper

A repository of the heart disease paper published on Springer

classifier model models tidyverse feature-selection model-selection classification machinelearning caret evaluation-metrics evaluation-metric rprogramming heartdisease statlog-heart-disease-data cleveland-heart-disease-data

Updated

houshuanglucie / Applied-Machine-Learning-in-Python

Application of machine learning in Python | Coursera

scikit-learn evaluation-metric supervised-machine-learning machine-learning-algorithm

Updated
Jupyter Notebook

TejaswiniKatale / Skewness-Based-Outlier-Elimination-technique-for-Pima-Diabetes-Dataset

The proposed algorithm is successful in elimination of 108 rows from Pima Diabetes Dataset by skewness range of Normal distribution curve. To check the efficacy of the algorithm, it is compared with four techniques- Local Outlier Factor, Mahalanobis Distance, Multivariate Normal Distribution (N Dimensional) and DBSCAN.

machine-learning-algorithms evaluation-metric normal-distribution skewness correlation-analysis

Updated
Jupyter Notebook

comsavvy / Bank-Institution-Term-Deposit-Predictive

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.

cross-validation evaluation-metric term-deposit

Updated
Jupyter Notebook

nehal96 / A-B-Testing-Udacity

A/B Testing Udacity's Free Trial Screener

udacity abtesting evaluation-metric

Updated

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