Analysis of digital elevation models (DEMs)

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.

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Infinite Matrices and Its Application

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.

Toolkit for studying numerical analysis and floating point algebra round-off

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 release…

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

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.

A package for handling numeric quantities with asymmetric uncertainties.

Model verification, validation, and error analysis

Numerical Methods course assignments.

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.

Automate web-based tasks for data retrieval from specific dashboards with Python scripts developed at Infozillion Teletech BD Ltd. Optimize and analyze MNO and IPTSP files to generate comprehensive reports.

Cutting-edge Python scripts meticulously developed for Infozillion Teletech BD Ltd. to automate complex data retrieval and error analysis tasks.

Automate the aggregation and analysis of error code data from MNOs and IPTSPs with this Python script, developed at Infozillion Teletech BD Ltd. The script combines, processes, and summarizes data, providing a convenient "Grand Total" overview and generating an output CSV file for further analysis.

Error analysis and computation of the matrix Logarithm with some Padè approximation

Analysis of the most famous historical catastrophic medical radiotherapy device including it's catastrophic software anti-patterns.

A computational study that ventures into the reduction of the standard error of a Monte Carlo simulation with the example of option pricing.