UCIDataScienceInitiative / AdvPredictiveModeling_withPythonLinks
Jupyter Notebooks for Adv. Predictive Modeling Course
☆15Updated 8 years ago
Alternatives and similar repositories for AdvPredictiveModeling_withPython
Users that are interested in AdvPredictiveModeling_withPython are comparing it to the libraries listed below
Sorting:
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 8 years ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 3 weeks ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- ☆64Updated 7 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 8 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- Tensorflow implementation of deep quantile regression☆75Updated 3 years ago
- Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.☆32Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…☆33Updated 8 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)☆18Updated 6 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Open Data Science☆33Updated last year
- Bayesian method library for Python☆33Updated 6 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆19Updated 7 years ago
- A game theoretic approach to explain the output of any machine learning model.☆14Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Updated 3 years ago
- Compute set of important operations for HCTSA code☆27Updated 5 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Material for the Advanced Scientific Programming in Python course on data visualization☆17Updated 7 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago