Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms
Python routines for Monte Carlo integration. Written in Cython and Python for fast computations. @Naereen knows the installation is broken, we're working on it!
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
An easy way to use multi-GPUs to calculate multi-dimensional integration
Theory and implementation of Monte Carlo integration techniques
Python and MATLAB code to find the definite integral of a user-defined function within given limits and defined iterations.
📈 Course Deterministic and Stochastic Integration Techniques: Stochastic experiments
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
RascalC: A Fast Code for Galaxy Covariance Matrix Estimation
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