Oliver Hennigh's repositories
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
Computational-Physics-and-Machine-Learning-Reading-List
A list of papers relating Computational Physics and Machine Learning
Lattice-Boltzmann-fluid-flow-in-Tensorflow
A Lattice Boltzmann fluid flow simulation written 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/
dynamic_rnn_conv_lstm
just a quick example of using the conv lstm in tensorflow as per https://github.com/tensorflow/tensorflow/pull/8891
PhantomGaze
Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.
Deep-Learning-Experiment-Manager
A simple python program to queue up deep learning experiments on gpus
DeepDesign
Automated Design Library using Deep Neural Networks
Flow-Sculpter
Neural Networks learning to create objects with desired flow properties.
Memory-Efficient-Autoencoder
A repo looking at autoencoders that can be applied to extremely large 2D and 3D tensors.
tensorflow
Computation using data flow graphs for scalable machine learning
HeatSinkPartCad
Test repo for trying out part cad
KernelPumpkinPatch
Python library of common operators used in computational physics
loliverhennigh.github.io
my blog
MLJejuCamp
Machine Learning Jeju Camp
modulus-launch
Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
PumpkinPulse
Dense Plasma Focus Fusion Reactor