error-analysis
There are 1 repository under error-analysis topic.
microsoft / responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Language:TypeScript 1207- MonteCarloMeasurements.jl
baggepinnen / MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
Language:Julia 255 GlacioHack / xdem
Analysis of digital elevation models (DEMs)
Language:Python 113ModelOriented / auditor
Model verification, validation, and error analysis
Language:R 58ServiceNow / azimuth
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Language:Python 53- olliePy
ahmed-mohamed-sn / olliePy
OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.
Language:Python 51 rhugonnet / ww_tvol_study
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Language:Python 42jkkummerfeld / berkeley-parser-analyser
A tool for classifying mistakes in the output of parsers
Language:Python 40A tool for classifying errors in coreference resolution
Language:Python 29Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Language:Jupyter Notebook 21cgobat / asymmetric_uncertainty
A package for handling numeric quantities with asymmetric uncertainties.
Language:Jupyter Notebook 17- Language:Python 14
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Language:Python 13terablade2001 / CECS
CECS (C/C++ Error Control System) is a pure C libary, with C++ support, for textual informative error control. Errors, Warnings or Info that is recording during runtime can be traced back to the file and line where the error occured.
Language:C 8FastAccounting / nobunaga
Nobunaga: Object Detection Analyzer
Language:Python 5atfrank / PyShifts
Pyshifts: A Pymol Plugin for Chemical Shift-Based Analysis of Biomolecular Ensembles
Language:Python 4chakravala / Wilkinson.jl
Toolkit for studying numerical analysis and floating point algebra round-off
Language:Julia 3EigenSolver / Advanced-Laboratory
Code for modeling and data analysis of PHYS128 AL@UC Santa Barbara. For Demonstration.
Language:Jupyter Notebook 3nscottnichols / erroranalysis-py
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Language:Python 3Ruthvicp / Logytics_IBM_Log_Analysis
Built an error prediction system using LSTM and integrated the model in Flask to make it a web application. Collected logs were trained using the model, and tested on the log data without error.
Language:Python 3ttungl / Machine-Learning
Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.
Language:MATLAB 3viperior / windows-event-log-auto-export
Automatically export Windows event logs to CSV
Language:PowerShell 3avaapm / TurkishNamedEntityRecognition
Source code and the details of the results in the paper "Named entity recognition in Turkish: A comparative study with detailed error analysis".
Language:Python 2dreamchef / Black-Scholes-options-pricing
Tests the Black-Scholes model's performance on forecasting option call prices of a selected option chain dataset. Discusses factors such as volatility and time to expiration that affect the estimations of call option prices and how this occurs within the dynamics of the model.
Language:Python 2Google-Developers-Sohag / Therac-25-Anti-patterns
Analysis of the most famous historical catastrophic medical radiotherapy device including it's catastrophic software anti-patterns.
HAvlani / ScienceFair
A research paper on my independent research regarding the effects of quantum Mid-Circuit Measurement on spectator qubits
- Language:Python 2
ngun7 / Sentiment-Analysis
This repo helps you to implement sentiment analysis on any text data using two machine learning algorithms Logistic Regression and Naive Bayes
Language:Jupyter Notebook 2- Language:Python 2
areenraj / Monte-Carlo-Error-Reduction
A computational study that ventures into the reduction of the standard error of a Monte Carlo simulation with the example of option pricing.
Language:Python 1AshleyChraya / HubbleConstant-ConstraintsForVCG
This repository contains Python codes for constraining parameters of VCG model by Chi-square minimization method and MCMC (Metropolis Hastings algorithm) using Supernoav data and GW data, and constraining Hubble Constant by least square method, orthogonal regression method and MCMC method using both SN and GW merger data (including newly released O3b dataset).
Language:Jupyter Notebook 1Cirdans-Home / padelogarithm
Error analysis and computation of the matrix Logarithm with some Padè approximation
Language:MATLAB 1iftekharmickey / Infozillion-Data-Toolkit
Cutting-edge Python scripts meticulously developed for Infozillion Teletech BD Ltd. to automate complex data retrieval and error analysis tasks.
Language:Python 1jj1bdx / gonnet-math-accuracy
Error analysis of system mathematical functions, by Gaston H. Gonnet, ETH, Informatik
Language:C 1RimTouny / Enhancing-Gutenberg-Book-Classification-using-Advanced-NLP-Techniques
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.
Language:Jupyter Notebook 1YiwenMei / Error-Analysis
These repository contains Matlab functions for the evaluation of closeness of two datasets.
Language:MATLAB 1
