• 2
• 0
• 0

meshio

I/O for various mesh formats

• 2
• 0
• 0

Machine-Learning-with-Python

Small scale machine learning projects to understand the core concepts

• 2
• 0
• 0

Machine-Learning-Books-With-Python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

• 2
• 0
• 0

lime

Lime: Explaining the predictions of any machine learning classifier

• 2
• 0
• 0

lazydata

lazydata: scalable data dependencies for python projects

• 2
• 0
• 0

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

• 2
• 0
• 0

kmc2

Cython implementation of k-MC2 and AFK-MC2 seeding

• 2
• 0
• 0

jmespath.py

JMESPath is a query language for JSON.

• 2
• 0
• 0

intro_to_QMC

Introductory QMC teaching material for Python

• 2
• 0
• 0

igs

• 2
• 0
• 0

hottbox

HOTTBOX: Higher Order Tensors ToolBOX.

• 2
• 0
• 0

google-maps-statistics

Visualizing Geographic Statistical Data with Google Maps

• 2
• 1
• 0

gmaps

Google maps for Jupyter notebooks

• 2
• 0
• 0

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

• 2
• 0
• 0

fonts

Font files available from Google Fonts

• 2
• 0
• 0

fem_lexer

Lexer fot FEM keyword files (LS-DYNA, PAMCRASH, ABAQUS, ...)

• 2
• 0
• 0

euroscipy2014

IPython advanced tutorial: introducing the interactive features of the IPython Notebook

• 2
• 0
• 0

fast_progress

Simple and flexible progress bar for Jupyter Notebook and console

• 2
• 0
• 0

elate

ELATE: Elastic tensor analysis

• 2
• 0
• 0

dsb17-walkthrough

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017