GitHub

Sample Code to Use Azure OpenAI Service's Whisper API from Python

This is a simple sample code that demonstrates how to use the Azure OpenAI Service's Whisper API to transcribe audio files using Python. Please make sure to replace the placeholder values in the .env ...
IEEE

Maximum Likelihood Method for Received Signal Strength-Based Source Localization

Abstract: In this correspondence, we develop an algorithm for maximum likelihood (ML) source localization using received signal strength (RSS) measurements. Unlike the conventional methods that resort ...
IEEE

Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling

Abstract: In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either ...
GitHub

AgentRun: Run AI Generated Code Safely

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...
Scientific Research Publishing

Huber, P. J. (1967). The Behavior of Maximum Likelihood Estimates under Nonstandard Conditions. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and ...

ABSTRACT: A simple forcing-feedback model of the effect of CO2 on temperatures implies that the natural logarithm of the concentration of CO2 in the atmosphere, lnC , and satellite-measured lower ...