Search Results for "roc"
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Showing 31 open source projects for "roc"
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ROC Engine
Simple and light-weight 3D game engine
ROC Engine is a simple and lightweight 3D game engine. Keyframed skeletal animation with hardware skinning. Audio playback with spatialization (Ogg, WAV, FLAC). TrueType font rendering with Unicode characters support. All information about modeling and scripting is available at wiki. Check demo scene resources out for an example of engine usage. -
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VisualDL
Deep Learning Visualization Toolkit
VisualDL, a visualization analysis tool of PaddlePaddle, provides a variety of charts to show the trends of parameters and visualizes model structures, data samples, histograms of tensors, PR curves , ROC curves and high-dimensional data distributions. It enables users to understand the training process and the model structure more clearly and intuitively so as to optimize models efficiently. VisualDL provides various visualization functions, including tracking metrics in real-time, visualizing the model structure, displaying the data sample, visualizing the relationship between hyperparameters and model metrics, presenting the changes of distributions of tensors, showing the pr curves, projecting high-dimensional data to a lower dimensional space and more. ... -
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Criterial
The package for statistical data analysis and applied mathematics
Putting truth before show-off. Criterial is an add-in for desktop versions of LibreOffice Calc (and forks) for statistical data analysis. The project is built on the refined expertise and core concepts of the AtteStat and StatAnt projects. Completely free. No donations required. Comes with absolutely no warranty. Not for clinical use. This software is not certified as a medical device and should not be used for diagnostic or treatment purposes. Rating: Everyone (All ages). NOTICE FOR EU... -
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mlr
Machine Learning in R
R does not define a standardized interface for its machine-learning algorithms. Therefore, for any non-trivial experiments, you need to write lengthy, tedious, and error-prone wrappers to call the different algorithms and unify their respective output. {mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods,... -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. ... -
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AmPEP and AxPEP
Sequence-based Antimicrobial Peptide Prediction by Random Forest
...The prediction model is based on the distribution patterns of amino acid properties along the sequence. Our optimal model, AmPEP with 1:3 data ratio achieved a very high accuracy of 96%, MCC of 0.9, AUC-ROC of 0.99 and Kappa statistic of 0.9. AmPEP outperforms existing methods with respect to accuracy, MCC, and AUC-ROC when tested using the benchmark datasets. Server online at https://cbbio.online/AxPEP -
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THIS SVN REPO IS NOW OUTDATED, PLEASE USE THE GITHUB LINK ABOVE! PinMAME - Pinball's Multiple Arcade Machine Emulator written by the WPCMAME/PinMAME development team and contributors
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GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
...The emphasis is primarily on learning to use existing libraries such as Scikit-Learn with easy recipes and existing data files that can found on-line. Topics include linear, multilinear, polynomial, stepwise, lasso, ridge, and logistic regression; ROC curves and measures of binary classification; nonlinear regression (including an introduction to gradient descent); classification and regression trees; random forests; neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. ... -
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mullpy
Multilabel-learning library built on python
...It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. It is working on python3.3. -
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Technical indicators in Python
Technical indicators in Python
Technical indicators in Python For now there are: RSI - Relative Strength Index, SMA - Simple Moving Average, WMA - Weighted Moving Average, EMA - Exponential Moving Average, BB - Bollinger Bands, Bollinger Bandwidth, %B, ROC and MA envelopes When I can I will add more. If anyone wishes to contribute with new code or corrections/suggestions, feel free. -
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EER
A WEKA package to calculate the Equal Error Rate (EER).
Calculates the Equal Error Rate (EER) using the ROC curve. This error is very used in Biometrics. This error is calculated when False Accept Error and False Rejecti Error are equal. This is a package for WEKA. -
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ROC(Taiwan) Judgement Search
ROC Judgement Search 中華民國司法裁判書查詢與下載
ROC(Taiwan) Judgement Search and Download 中華民國司法判決書搜尋與下載，能夠快速的查詢某一區段或是某一案件類型之判決文，供下載該區段判決文以供研究司法狀態或是判決型態。其他搜尋問題請參照:http://jirs.judicial.gov.tw/FJUD/TextHelp.htm -
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ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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WinCC Open Architecture C# Framework
C# Framework for WinCC OA Open Architecture connectivity (XMLRPC)
Author: Andreas Vogler Homepage: www.rocworks.at Communication .Net client to WinCC Open Architecture. Works fine with MonoTouch and Mono for Android! GPLv3 License is used for the public domain. If you plan to use it in a CLOSED SOURCE project, please get in touch with me - andres.vogler@gmail.com ! Communication can be done directly with XMLRPC or with the included proxy: * .net remoting is used for "commands" from the client to the proxy (dpConnect, dpQueryConnect). * tcp... -
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XMLRPC for C#
Lightweight XMLRPC for C#
Lightweight XMLRPC implementation for C#. Works fine with MonoTouch and Mono for Android (www.xamarin.com) because reflection.emit is not used! -
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GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
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...It curently supports all Westwood Online clients (Tiberian Sun, Red Alert 1/2, Renegade, Emperor, NOX) and all Battle.Net clients (Diablo 1/2, Starcraft/Broodwar, Warcraft 2/3 ROC/TFT).
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Game Stats
Logfile parser for Call of Duty (COD) and Soldier of Fortune 2
Game Stats generates web-based static .HTML statistics by parsing a game log file. Currently supports COD (Call of Duty) and Soldier of Fortune 2 w/OSP or ROC mods. As of 1.4, it ships with its own executable, and doesn't require PHP or MySQL. -
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Generates a ROC curve and score distributions when provided with scores. Has the ability to bootstrap and calculate confidence intervals on the ROC curve. Can also perform statistical testing.
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The TreeRank project is a R package implementing a Machine Learning algorithm to build tree-based ranking rules from data with binary labels, based on ROC optimization.
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Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
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WAR3Proxy is a Warcraft 3 (ROC+TFT) Proxy Server. Currently it allows your Warcraft 3 client to connect to a B.NET server or pvpgn, and it will proxy both the chat and game connections. It will be extended into tunneling these connections.
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ROC.KIT is an application for health sciences that automatically calculates ROC curves (receiver operating charateristic plots) from continuous medical data like laboratory results.
