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algorithm-guide

BITLIU`s Tutorials of Algorithm and Data Structure🚀🚀🚀

ashe

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

blockmeshbuilder

Concisely define and manipulate 3D block structures to produce hexahedral block-structured meshes for CFD.

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cheatsheets

Official Matplotlib cheat sheets

classical-modern

非常全的文言文（古文）-现代文平行语料

classy_blocks

Python classes for easier creation of openFoam's blockMesh dictionaries.

coolprop

Thermophysical properties for the masses

dlib

A toolkit for making real world machine learning and data analysis applications in C++

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

fundamentals_of_data_science

Graduate Level Course

gpflowsampling

Code for efficiently sampling functions from GP(flow) posteriors

influential-cs-books

Most influential books on Computer Science/programming

ithaca-fv

Reduced order modelling techniques for OpenFOAM

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kdro

Code for the paper: Kernel Distributionally Robust Optimization

lazyflow

lazy parallel ondemand zero copy numpy array data flows with caching and dirty propagation

lestools

A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations

manning

Repository for the book Grokking Machine Learning, by Manning Editors

max-value-entropy-search

Max-value Entropy Search for Efficient Bayesian Optimization

ml-book

book

mlphysical

Machine Learning and the Physical World module

mmd-dro-code

Accompanying code for our NeurIPS 2019 paper

mosek_tutorials

A collection of tutorials for the MOSEK package

notebook

Collection of jupyter notebooks for demonstrating software.

numpy

The fundamental package for scientific computing with Python.

paramz

Parameterization Framework for parameterized model creation and handling.

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy