zhucer2003 Goto Github PK

tf-oreilly

Code for O'Reilly's "A Short Course on TensorFlow"

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

the-gan-world

Everything about Generative Adversarial Networks

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

theory-of-seismic-waves-ii

Course material for the lecture "Theory of seismic waves II" (SS 2018) @ CAU Kiel

thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

ties483

TIES483, Nonlinear Optimization course at the University of Jyväskylä, Department of Mathematical Information Technology

triangle

Python bindings to the triangle library

tsunami

A shallow water equations solver

tuthpc

Tutorial on "Efficient Python for High-Performance Computing"

tutmom

Tutorial on "Modern Optimization Methods in Python"

tutorialgp

tutorials-2018

Geophysical Tutorials column for 2018

ubc-scientific-software-seminar

The UBC Scientific Software Seminar is inspired by Software Carpentry and its goal is to help students, graduates, fellows and faculty at UBC develop software skills for science.

uci-math10

This is the repository for Math 10 Intro to Programming for DataSci at UCI.

uncertainpy

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

unix-intro

Introduction to command line and UNIX systems

uqdes

Software for the paper "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead, Girolami

uqtk

Sandia Uncertainty Quantification Toolkit

usnccm15-short-course-recent-advances-in-physics-informed-deep-learning

wasserstein_inverse_problems

Code for the article "Learning to solve inverse problems using Wasserstein loss"

wavemat

Spectral methods for wave propagation in Matlab

weighted_sgd

SGD with importance Sampling

welcome_tutorials

Various tutorials given for welcoming new students at MILA.

workshopscipy

A workshop for scientific computing in Python. ( December 2017 )

wsabi

Minimal implementation of WSABI_L and WSABI_M in MATLAB.

wustl-math450

Optimization Methods in Machine Learning at WUSTL, mainly a PyTorch 101

zhucer2003.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes