Analysis of digital elevation models (DEMs)
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Updated
Jun 16, 2024 - Python
Analysis of digital elevation models (DEMs)
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
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.
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
A tool for classifying mistakes in the output of parsers
A tool for classifying errors in coreference resolution
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Error analysis, diagnostic tests and plots for nested sampling calculations.
Nobunaga: Object Detection Analyzer
Pyshifts: A Pymol Plugin for Chemical Shift-Based Analysis of Biomolecular Ensembles
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.
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.
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).
Source code and the details of the results in the paper "Named entity recognition in Turkish: A comparative study with detailed error analysis".
A computational study that ventures into the reduction of the standard error of a Monte Carlo simulation with the example of option pricing.
This is the repo for NLP related tasks for Error and Design issue extraction from the corpus
Cutting-edge Python scripts meticulously developed for Infozillion Teletech BD Ltd. to automate complex data retrieval and error analysis tasks.
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