In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
Artificial intelligence is changing the face of waste education. City staff and facility operators are looking beyond just paper mailers and public service announcements to cameras, screens and text ...
With my pyproject.toml (given below), poetry generates a lock file that has invalid boolean expressions on the platform marker: markers = "sys_platform != \"darwin\" or and or platform_machine != ...
This post explains the key findings and algorithm of our 2023 SIGGRAPH paper “Winding Numbers on Discrete Surfaces” . What problem does this paper solve? For a given point on a surface, we would like ...
Background: Patients' knowledge of dispensed drugs is essential to prevent preventable patient mortality and facilitating their recovery from illnesses. Several studies have been conducted in Ethiopia ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
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