cliburn / sta-663-2017Links
Notebooks, worksheets and homework for STA 663 class
☆43Updated 8 years ago
Alternatives and similar repositories for sta-663-2017
Users that are interested in sta-663-2017 are comparing it to the libraries listed below
Sorting:
- ☆73Updated 6 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Resources for STA 633 class☆169Updated 8 years ago
- Numba tutorial materials for Scipy 2016☆144Updated 8 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- ☆173Updated 9 months ago
- Tutorial on "Modern Optimization Methods in Python"☆249Updated 6 months ago
- Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python☆66Updated 4 years ago
- The compiled, clean (not run) Jupyter notebooks for Elegant SciPy☆112Updated 5 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 6 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Jupyter notebooks and other materials developed for the Columbia course APMA 4300☆284Updated 2 years ago
- Material for the SciPy 2017 Cython tutorial☆143Updated 8 years ago
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 6 months ago
- Basic probability manipulation routines for discrete variables☆29Updated 7 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- Python for Data Science (Seminar Course at UC Berkeley; AY 250)☆331Updated 3 years ago
- Course materials for STA663☆37Updated 9 years ago
- ☆145Updated 3 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Statistics lecture notes☆34Updated 9 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 5 years ago
- Pure Python/Numpy implementation of the Nelder-Mead algorithm.☆125Updated 4 years ago
- my blog☆268Updated 3 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated last year
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 4 years ago