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fitter

Fitting module. Used for establishing functions/linkages between material descriptors and process or property parameters.

flask-wtform-tutorial

📝😎Tutorial to implement forms in your Flask app.

fmks

Functional Materials Knowledge System

functional_intro_to_python

A functional, Data Science focused introduction to Python

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generator

Microstructure Generation module. Creation of a vast variety of randomized microstructures under physical and statistical constraints.

gpr_public

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graspi

habitat-api

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

habitat-challenge

Code for the habitat challenge

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.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kanapy

Synthetic microstructure generator. Online documentation can be found here:

machine-learning-coursera-1

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning_resourcescompilation

Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.

mgi-json-schema

The purpose of this repository is to enable community development of JSON schema within materials science and engineering.

mid3as-am-challenge

mined-matkit

Main module. A GUI that packages all other GUIs into a single coherent application.

mks-tutorial

ml_toolbox

A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

opennmt-py

Open Source Neural Machine Translation in PyTorch

p5.js

p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —

pace_visualization

pandas_exercises

Practice your pandas skills!

planets

Planetary information for familiarization with git & GitHub basics

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.