The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

Restricted Boltzmann Machines in Python.

Boltzmann Machines in TensorFlow with examples

XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML

Code accompanying The Lattice Boltzmann Method: Principles and Practice

Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method

Lattice Boltzmann (LBM) simulation package for GPUs (CUDA, OpenCL)

Curated list of some open source codes employing lattice Boltzmann methods

Fluid solver based on Lattice Boltzmann method implemented by taichi programming language

Lattice Boltzmann fluid simulation

A simple full-python 2D lattice-boltzmann code

TCLB - Templated MPI+CUDA/CPU Lattice Boltzmann code

Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.

Boltzmann Generators and Normalizing Flows in PyTorch

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

Modular Restricted Boltzmann Machine (RBM) implementation using Theano

Restricted Boltzmann Machines (RBMs) in PyTorch

Numerical simulations using flexible Lattice Boltzmann solvers

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Dynamic Boltzmann Machines

The C++ version code of Lattice Boltzmann Method Fundamentals and Engineering Applications with Computer Codes

A Lattice Boltzmann fluid flow simulation written in Tensorflow.

A high-performance framework for solving phonon and electron Boltzmann equations

MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media

Examples for the Lattice Boltzmann Method

openLBMPM is an open source lattice Boltzmann method (LBM) package for multicomponent and multiphase (MCMP) flow and transport in porous media. Currently, it includes Shan-Chen method and color gradient method for MCMP system. There are two options for Shan-Chen method: (1) Original Shan-Chen method, which integrates the force term to the equilibrium velocity and cannot reach high viscosity ratio; (2) Explicit forcing model developed by M.Porter et al (2012). For color gradient model, the methods developed by Liu et.al (2014), Huang et al (2014) and Takashi et al (2018) are included. For running the codes, CUDA and numba (from Anaconda) are required

Gaussian-Bernoulli Restricted Boltzmann Machines

Lattice Boltzmann Method (LBM) codes in MATLAB for educational purposes, based on codes in the textbook by A. A. Mohamad.

An OpenFOAM solver for Boltzmann model equation using discrete unified gas kinetic scheme

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