EMBO Press

Machine learning-guided deconvolution of plasma protein levels

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
IEEE

Exploratory Analysis of Machine Learning Methods for Total Organic Carbon Prediction Using ...

Abstract: Machine Learning methods have shown significance in automating the prediction of Total organic carbon (TOC) for determining source rock potential in oil and gas exploration. Higher TOC ...
GitHub

State-of-the-art Machine Learning for the Web

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...
IEEE

Malicious PE File Detection Using Machine Learning: An Analysis of Header Features

Abstract: Portable Executable (PE) files serve as the foundation of the Windows operating system, containing executable code, object code, and Dynamic Link Libraries (DLLs). Their importance lies in ...
GitHub

ai-ops

An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by ...