Listed Volatility and Variance Derivatives (Wiley Finance)

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Learn the technology of CUDA and GPU Programming. The main is learn from the book of "CUDA Programming: A Developer's Guide to Parallel Computing with GPUS"

Sample codes for my CUDA programming book

Class of High Performance Computing taken at U.T.P 2017

Machine Learning based Analysis Framework for physics on top of REP

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and u…

Utilities for nonlinear least-squares fits.

Utilities for fitting correlators in lattice QCD.

Snakemake profile for HTCondor

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

A package for handling numeric quantities with asymmetric uncertainties.

A package for dealing and propagating asymmetric uncertainties in measurements using Monte Carlo simulations.

"soad" module is for handling measurement values with asymmetric uncertainties.

Fitting tutorial for the LHCb starterkit 2022

Jupyter-friendly Python interface for C++ MINUIT2

Pure python statistic tools for high energy physics.

Statistics tools and utilities.

Feldman-Cousins Confidence Intervals

Calculates Feldman Cousins confidence intervals

generation config scripts

Generation and fitting for multibody hadron decays.