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abinit

The official github mirror of the Abinit repository. We welcome bug fixes and improvements. Note that most of the active developments are hosted on our https://gitlab.abinit.org/ server. Before embarking on making significant changes, please contact the Abinit group.

artificialneuronmodels

A collection of artificial neuron models. Written in Julia using Jupyter Notebooks

burai

BURAI, a GUI system of Quantum ESPRESSO

chainer

A flexible framework of neural networks for deep learning

cif2wan

Create wannier functions

cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

classroom-report-2018

Design, analysis, findings and raw data from the 2018 GitHub Education Classroom Report

compphysics

Computational Physics codes

computational-neuroscience

Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.

course-content

NMA Computational Neuroscience course

espresso

Notes and tutorials on Density Functional Theory calculation using Quantum Espresso.

github_test

gnuplot-colorbrewer

ColorBrewer color schemes for gnuplot

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.

interactive_neuron_model_simulator

Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

ising

last_layer_laplace

Last-layer Laplace approximation code examples

lif

Leaky Integrate and fire model Example

migration-data

Creating Python Package. Interaction with server with Database API.

mytest

neuron-simulation

neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

nps

14

numerical-analysis-python

Python notebooks for Numerical Analysis

numerical-methods-python

Numerical methods implementation in Python.

numerical-python

Source code for 'Numerical Python' by Robert Johansson

numerical-python-book-code

numericalmethods

Learn essential numerical methods for chemical engineering applications with practical Python and MATLAB examples.

numpy

:octocat: Numpy for handling n-dim array, algebraic operation, plotting, statistics, and NumPy array functions :rocket:

pandas

:octocat: Pandas for Data frame, indexing, lambda functions, and Data visualization :rocket: