djour / PyBRMLLinks
Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
☆164Updated 10 years ago
Alternatives and similar repositories for PyBRML
Users that are interested in PyBRML are comparing it to the libraries listed below
Sorting:
- A library for creating and using probabilistic graphical models☆76Updated 8 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 8 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)☆291Updated 12 years ago
- ☆78Updated 9 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- A collection of tutorials on neural networks, using Theano☆220Updated 2 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- my blog☆269Updated 3 years ago
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆412Updated 6 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Bayesian Machine Learning☆209Updated 3 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy☆47Updated 9 years ago
- Blog☆342Updated last month
- Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016☆114Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- STATS385 course website☆89Updated 3 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 9 years ago
- ☆58Updated 9 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- ☆83Updated 8 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 8 years ago