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:
- ☆74Updated 6 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Resources for STA 633 class☆172Updated 8 years ago
- Numba tutorial materials for Scipy 2016☆144Updated 8 years ago
- ☆177Updated last year
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 10 months ago
- Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python☆66Updated 5 years ago
- Basic probability manipulation routines for discrete variables☆29Updated 8 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 4 months ago
- Material for the SciPy 2017 Cython tutorial☆143Updated 8 years ago
- Material for the Advanced Scientific Programming in Python course on advanced numpy☆26Updated 7 years ago
- ☆21Updated 6 years ago
- Python for Data Science (Seminar Course at UC Berkeley; AY 250)☆332Updated 3 years ago
- The compiled, clean (not run) Jupyter notebooks for Elegant SciPy☆112Updated 5 years ago
- Course repository for Cornell CS 6210, Fall 2016☆18Updated 9 years ago
- Data Processing Advanced: a course on scientific computing with Numpy/Scipy☆22Updated 8 years ago
- ☆38Updated 4 years ago
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 10 months ago
- slides + Jupyter notebooks for the Stony Brook University "Python for Scientific Computing" class.☆84Updated 3 weeks ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆71Updated 9 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 6 years ago
- Demos and tutorials for ORIE 4741☆34Updated 4 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- Statistics lecture notes☆35Updated 9 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 3 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- ☆145Updated 4 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago