Umbrella for Particle Physics-related projects
Dima Savin
Particle transport Monte Carlo simulations are a key tool for High Energy Physics experiments, including the LHC experiments at CERN. All Monte Carlo...
Bastian Wieck
Fads is a fast detector simulation toolkit in Go used for High Energy Physics analyses. The current version is not very scalable and it takes up too...
Saurav Shekhar
Toolkit for Multivariate Analysis (TMVA) is a machine learning toolkit for the ROOT scientific software framework. It contains a variety of...
Vitalii Drohan
This is proposal for implementing suggested HPC aware infrastructure with workload balancer.
Krishnan R
Jupyter Notebook is an interactive computing environment that is used to create notebooks which contain code, output, plots, widgets and theory....
Dmitry Sorokin
Track of a charged particle in a non-uniform electromagnetic field can be described by the first-order initial value problem (IVP). Robustness and...
George Papadrosou
Assess the performance of ROOT's asynchronous data prefetching compared to standard prefetching mechanism for reading remote ROOT files.
Vyom Sharma
This project is aimed towards building a framework which monitors incoming ATLAS Computing Operations data for anomalies and then autonomously, acts...
Alejandro García Montoro
ROOT is a data analysis software used by scientists all over the world; therefore, its efficiency is critical for the scientific community in general...
Dong-hee Na
gopy is an excellent tool which generates (and compiles) a CPython extension module from a go package. And I hope more developers could make full use...
Deepanshu Thakur
‘Effective Python routines for analysis on massively multi-threaded platforms-Python bindings for the Hydra C++ library'. The title of this project...
Brian Lui
Toolkit for Multivariate Data Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software network, used...
Rishi Shah
The CMS (Compact Muon Solenoid) is a high-energy physics experiment at the LHC. The CMS PhEDEx(Physics Experiment Data Export) project is responsible...
Kunal_Singh_
Extracting shape information from simulated CMS events Using Tensorflow to train a DNN based on the shape of the hits, detector information and...
Vladimir Ilievski
The Convolutional Neural Networks (CNNs) are one special type of a deep learning neural networks with an enormous discriminative power for image...
Somesh Singh
The CUDA language, used for programming NVIDIA GPUs, is not dynamic-data-structure friendly since it was designed for working with data structures of...
Sami Ullah
OpenML is an open source project that aims to create a novel ecosystem for machine learning experimentation. It is possible to integrate different...
vikas gupta
PYTHIA is used for generation of events in high-energy collisions. Originally developed in fortran until Pythia6.4, it was rewritten in C++ starting...
ajatgd
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and...
Vibhav Pant
WebAssembly (wasm) is a low level bytecode binary file format made for execution on the Web, designed as a compilation target for various programming...