(Machine) Learning to Do More with Less
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Updated
Jun 11, 2018 - Jupyter Notebook
(Machine) Learning to Do More with Less
Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks
Tools for the CMS HH->WWgg analysis, Northeastern University, Boston MA
An Option pricing app based on legacy models like BSM and Garch(1,1) which takes in inputs like Days to expiry, Strike price, Spot price, Volatility etc to output the BSM calculated Option Price
This repository host the webpage for the HighPT software package
Code for assessing vacuum stability in BSM models with many scalars. Modular and highly customizable. Written in C++. Development happening at: https://github.com/JoseEliel/VevaciousPlusPlus_Development
A global likelihood for the Standard Model Effective Field Theory
A library that enables the calculation of photodisintegration constraints for a variety of BSM scenarios
HighPT (pronounced 'hyped') is a calculator for High-pT Tail observables.
Convert Non-BSM to BSM (GSoC @ FreeBSD) & more
Sakarya Üniversitesi Bilgisayar ve Bilişim Bilimleri Fakültesi Bilişim Sistemleri Mühendisliği 2021-2025 yılları arasında derslerin not, ödev ve sınavlarına ait dokümanlar yer almaktadır.
Connect Home Assistant with your Bedrock Server Manager. Monitor server status, resource usage, and control server actions like start, stop, restart, backups, restores, and send commands directly from Home Assistant dashboards and automations.
Add a description, image, and links to the bsm topic page so that developers can more easily learn about it.
To associate your repository with the bsm topic, visit your repo's landing page and select "manage topics."