JIMMY-KSU

DAPPER

Data Assimilation with Python: a Package for Experimental Research (DAPPER)

ipython-notebooks

A collection of IPython notebooks covering various topics.

10-steps-to-become-a-data-scientist

Article-Tutorials

Articles related to Neural Networks will be posted here.

covise

Collaborative Visualization and Simulation Environment, OpenCOVER and oddlot

fbs-tutorial

Tutorial for creating Python/Qt GUIs with fbs

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

geppy

A framework for gene expression programming (an evolutionary algorithm) in Python

git-your-own-adventure

A tutorial for some advanced git commands for command line

GitInPractice

📖 An opinionated intermediate/advanced Git book from @MikeMcQuaid

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

juls

A shallow water model with a focus on flexible number types: 64/32/16bit Floats, Arbitrary precision floats (BigFloat), Posits.

Machine_Learning-1

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

machine_learning_examples

A collection of machine learning examples and tutorials.

Neural-Net-with-Financial-Time-Series-Data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Nonlinear_Physics

pgmpy

Python Library for Probabilistic Graphical Models

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pyDOE

Design of experiments for Python

pyJHTDB

Python wrapper for the Johns Hopkins turbulence database library

PyomoGettingStarted

IPython notebooks that illustrate the Pyomo optimization modeling software

Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

pythondata

repo for code published on pythondata.com

seminar_enkf_analysis

Seminar: Analysis EnKF for inverse problems - Code and handout

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

visualizing-git

:framed_picture: Visualize how common Git operations affect the commit graph

workshops

A few exercises for use at events.