jkfitzsimons / IPyNotebook_MachineLearning
This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
☆34Updated 9 years ago
Alternatives and similar repositories for IPyNotebook_MachineLearning:
Users that are interested in IPyNotebook_MachineLearning are comparing it to the libraries listed below
- Tensorflow implementation of deep quantile regression☆76Updated 2 years ago
- ☆32Updated 6 years ago
- ☆98Updated 6 years ago
- State space modeling with recurrent neural networks☆43Updated 6 years ago
- Numerical machines in Python☆94Updated 10 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆81Updated 7 months ago
- Python Implementation of Quantile Random Forest Regression☆12Updated 10 years ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆59Updated last year
- A collection of Gaussian process models☆30Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- ☆75Updated last year
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- Bayesian optimization☆37Updated 5 years ago
- ☆64Updated 6 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Python implementation of "Adaptive Sequential Bayesian Change Point Detection" algorithm (Turner, et.al)☆21Updated 5 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated last year
- ☆158Updated 2 years ago
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆121Updated 4 years ago
- Online Change-point Detection Algorithm for Multi-Variate Data: Applications on Human/Robot Demonstrations.☆43Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆36Updated 2 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Data sparse and non-parametric quantile regression☆10Updated 3 years ago