JIMMY-KSU

DynamicModeDecomposition

nntypes

An implementation of the functions that Chris Olah talks about in his blog post Neural Networks, Types, and Functional Programming connecting ideas from deep learning to ideas from functional programming.

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

Data-Science-Machine-Learning-Projects

Python, Machine Learning, Data Science, Deep Learning, Artificial Intelligence

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Dynamic-mode-decomposition-code

This code takes inputs of snapshots of flowfield data as columns of U or V or W or P etc and decomposes the flowfield and exports files containing decomposed in the order of dominance.

emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

exploratory_computing_with_python

heat-diffusion-1D

simulation of multi temperature and multi layer heat diffusion

Keras-GAN

Keras implementations of Generative Adversarial Networks.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

MathAndScienceNotes

Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc

meshmode

High-order unstructured mesh representation and discrete function spaces

meshpy

2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)

MultiRes_Discovery

parallelDMD

A parallel dynamic mode decomposition routine

pycuda

CUDA integration for Python, plus shiny features

PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂

pymc4

Pre-release development of high-level probabilistic programming interface for TensorFlow

pyopencl

OpenCL integration for Python, plus shiny features

pyROM-1

Python-non-linear-regression

python non linear regression jupyter notebook

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

shenfun

High performance computational platform for the spectral Galerkin method

spectrum

Spectral Analysis in Python

tensorflow

An Open Source Machine Learning Framework for Everyone

turbulence

OpenSource BEEP application server -- BEEPcore application server

vibration_toolbox

Educational Vibration programs. Intended for undergraduate and early graduate students.

ViewSCAD

A Jupyter renderer for the OpenSCAD and SolidPython Constructive Solid Geometry languages