tscholak / PyConEdwardLinks
Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017
☆11Updated 8 years ago
Alternatives and similar repositories for PyConEdward
Users that are interested in PyConEdward are comparing it to the libraries listed below
Sorting:
- my public kaggle code☆79Updated 11 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- My Tutorial for PyData London☆25Updated 10 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆84Updated 10 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- Public Kaggle Code and Info☆43Updated 9 years ago
- Homesite Kaggle☆30Updated 9 years ago
- A collection of tutorials on neural networks, using Theano☆223Updated 2 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- Course materials for STA663☆37Updated 9 years ago
- Winning solution to the Kaggle competition - How Much Did It Rain? II☆155Updated 9 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆290Updated 11 years ago
- 2nd Place Solution in Kaggle Airbnb New User Bookings competition☆129Updated 9 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 8 years ago
- Demonstration of the effect of synthetic features on linear models☆79Updated 11 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆123Updated 6 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- Slides and notebooks for PyData Strata San Jose☆50Updated 10 years ago
- Material for Machine Learning Meetup "Machine Learning with Scikit-learn"☆29Updated 9 years ago
- code for pydata madrid presentation☆53Updated 9 years ago
- Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)☆30Updated 8 years ago
- Bayesian Analysis in PyMC3.☆79Updated 11 years ago
- ☆66Updated 2 years ago
- ☆157Updated 9 years ago