Monte Carlo
Showing 9 of 9 projects
A curated collection of Monte Carlo tree search research papers with implementations from top AI conferences.
A Python library built on JAX for studying many-body quantum systems using neural networks and machine learning.
A Python package for designing, simulating, and validating complex adaptive systems using Monte Carlo methods and parameter sweeps.
A JAX-powered probabilistic programming library focused on performant sampling methods for Bayesian inference on CPU, GPU, and TPU.
A parallel Monte Carlo and machine learning library for scientific inference, available in Python, MATLAB, Fortran, C++, and C.
A comprehensive Go toolkit for High Energy Physics (HEP) data analysis, simulation, and visualization.
A high-performance Rust library for simulating stochastic processes, with applications in quantitative finance, statistical modeling, and synthetic data generation.
Generates random numbers with realistic financial market properties like fat tails and volatility clustering for simulations and research.
A Python wrapper for cadCAD that dispatches simulation workloads to the decentralized Golem supercomputer network.
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