roc
There are 94 repositories under roc topic.
dformoso/sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
bennycode/trading-signals
Technical indicators to run technical analysis with JavaScript & TypeScript. 📈
shakedzy/dython
A set of data tools in Python
anilca/NetTrader.Indicator
Technical anaysis library for .NET
xrobin/pROC
Display and analyze ROC curves in R and S+
manuelaguadomtz/pyeer
PyEER is a python package for biometric systems performance evaluation. Includes ROC, DET, FNMR, FMR and CMC curves plotting, scores distribution plotting, EER and operating points estimation. It can be also used to evaluate binary classification systems.
buomsoo-kim/Machine-learning-toolkits-with-python
Machine learning toolkits with Python
roc-lang/book-of-examples
Software Design by Example in Roc
DIAGNijmegen/picai_eval
Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.
JAVI897/ML-Metrics
Threshold analysis
Hasnep/roc-html
🌐 A library to create HTML in Roc
UnixJunkie/cpmlib
Classification and Regression Performance Metrics library
hyunsooseol/snowCluster
This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.
PerXeptron/X-Ray-Anomaly-Detection-Models
Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
arpitg91/PerformanceScoreCard
Get performance metrics and graphs of a scorecard
Hasnep/bundle-roc-library
📦 A GitHub Action to bundle and release a Roc library
kunogi/fin-calc
a tool lib calculates fin-indicators
shritesh/roc-image
An image library that supports exporting to PNG.
Hasnep/roc-math
🧮 Mathematical functions and constants in Roc
Duffy617/AI-for-Medical-Diagnosis
Assignment for the AI for Medicine Specialization course. (1:Chest X-Ray Medical Diagnosis with DL/ 2:Evaluation of Diagnostic Models/ 3:Brain Tumor Auto-Segmentation for MRI)
Hasnep/roc-units
📏 Type-safe units of measure in Roc
Hasnep/roc-datetimes
🕒 A work in progress Roc library for working with dates and times
IndexFziQ/Analysis-of-Story-Cloze-Test-and-ROCStories
Analysis of Story-Cloze-Test (SCT) task and its training set (ROCStories). History, developments and future works.
junqiangchen/ROC-with-tensorflow
Draw ROC for CNN classification
avestura/scikit-heart-disease-classifier
💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more
dpc10ster/RJafrocRocBook
ROC methodology explained with R-examples
KrishArul26/Defect-detection-in-Air-Pressure-system-APS-of-a-truck-using-ML
The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.
WhileTruu/advent-of-code
Advent of Code 2022 with Roc
CodeLogist/Pneumothorax-Detection-CNN-Keras
Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab
HOPE-UIB-BIO/RateOfChange
R-script addaptation of RATEPOL
mieskolainen/ROCpack
Neyman-Pearson lemma, likelihood ratio, ROC, efficiency, purity, Bayes error
Nikronic/Pattern-Recognition-IUST
The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology
SE701-T5/Backend
Heroku deployed Node.js backend server developed by Team-5 for the UniForum project associated with the University of Auckland SOFTENG 701 course
Hasnep/roc-ascii
🔤 ASCII string types for Roc
SkullkyAI/ML-CLASIFICACION-TITANIC-KAGGLE
Práctica de clasificación con Machine Learning en el dataset del Titanic, abordando exploración de datos, preprocesamiento, selección de métricas y modelos, con el objetivo de analizar detalladamente los resultados obtenidos.