jamt9000 / prml
Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
☆76Updated 5 years ago
Alternatives and similar repositories for prml:
Users that are interested in prml are comparing it to the libraries listed below
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 8 years ago
- ☆59Updated 8 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆31Updated 7 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Winning solution scripts☆53Updated 7 years ago
- Coding example of DLIF tutorial☆66Updated 8 years ago
- Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats☆66Updated 4 years ago
- STATS385 course website☆89Updated 2 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 7 years ago
- ☆82Updated 7 years ago
- Demonstration of the effect of synthetic features on linear models☆79Updated 11 years ago
- a collection of my notes on deep learning☆124Updated 7 years ago
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Updated 7 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy☆47Updated 8 years ago
- Deep learning tutorials (third edition)☆96Updated 8 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆86Updated 8 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- ☆30Updated 8 years ago
- Right whale recognition☆55Updated 9 years ago
- A collection of MATLAB data sets used by PMTK.☆56Updated 11 years ago
- Python, so easy, wow!☆139Updated 4 years ago
- Multilayer Neural Network using numpy.☆55Updated 8 years ago