loliverhennigh/Lattice-Boltzmann-fluid-flow-in-Tensorflow

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Updated over 6 years ago

loliverhennigh/Lattice-Boltzmann-fluid-flow-in-Tensorflow

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A Lattice Boltzmann fluid flow simulation written in Tensorflow.

Lattice-Boltzmann-fluid-flow-in-Tensorflow

A Lattice Boltzmann fluid flow simulation written in Tensorflow. The flow library is contained in LatFlow and supports both 2D and 3D simulations. There are 3 test files to showcase different simulations that can be run (flow around a car, lid driven cavity and 3d simulation around a cube).

Videos that it makes!

Convolutional-LSTM-in-Tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

Computational-Fluid-Dynamics-Machine-Learning-Examples

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

Steady-State-Flow-With-Neural-Nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Phy-Net

compressing physics with neural networks

Computational-Physics-and-Machine-Learning-Reading-List

A list of papers relating Computational Physics and Machine Learning

Early-Visual-Concept-Learning-Recreation-of-Some-Results

Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning

latnet

Neural Network Based Lattice Boltzmann solver

All-Convnet-Autoencoder-Example

Just a simple use example of the conv2d_transpose function in TensorFlow. Its run on MNIST.

Variational-autoencoder-tricks-and-tips

just a few trouble shooting tips I have found for training variational autoencoders. All code in tensorflow

MinDat-Mineral-Image-Dataset

A dataset of +500,000 mineral images with labels taken from mindat.org.

Crystal-Gems

A dataset of mineral images and labels for machine learning purposes. http://www.minerals.net/

PhantomGaze

Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.

Deep-Learning-Papers

A list of deep learning papers and notes on them

dynamic_rnn_conv_lstm

just a quick example of using the conv lstm in tensorflow as per https://github.com/tensorflow/tensorflow/pull/8891

Deep-Learning-Experiment-Manager

A simple python program to queue up deep learning experiments on gpus

DeepDesign

Automated Design Library using Deep Neural Networks

ultrasound-nerve-segmentation-in-tensorflow

Jumping in really late to the kaggle ultrasound nerve segmentation competition. Hopefully save peoples time in writing boring data loading scripts.

Compressing-Dynamical-Systems-Atari

This is both an implementation of the paper "Action-Conditional Video Prediction using Deep Networks in Atari Games" and an extension of some of their results

dynamical-systems-for-machine-learning

Simple dynamical systems to test machine learning algorithms. Written with TensorFlow in mind

Mindat

A dataset of mineral images created from mindat.org

Flow-Sculpter

Neural Networks learning to create objects with desired flow properties.

Quantum-Walk-Simulator

A c++ simulator for Continuous-Time Quantum Walk.

Compressing-Dynamical-Systems

A tool to compressing video based dynamical systems on to small low dimensional LSTMs or fully connected networks. This also doubles as a video generative model as seen bellow.

Cd.jl

A simple Restricted Boltzmann machine. For use in Neural Networks and other learning needs.

Memory-Efficient-Autoencoder

A repo looking at autoencoders that can be applied to extremely large 2D and 3D tensors.

resume

The-Wedding-Project

All-Convnet-TensorFlow-MNIST-Tutorial

A look at using conv nets all the way through for TensorFlows MNIST Tutorial

Ring_Net

A Neural Network for compressing dynamical systems into Markov Chains and the like

PumpkinPulse

Dense Plasma Focus Fusion Reactor