Neuraxio / Machine-Learning-FiguresLinks
☆12Updated 4 years ago
Alternatives and similar repositories for Machine-Learning-Figures
Users that are interested in Machine-Learning-Figures are comparing it to the libraries listed below
Sorting:
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- Conformal prediction in R☆32Updated 6 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- A library implementing various linear sparse fitting techniques. Uses Tensorflow for running on GPU.☆14Updated 8 years ago
- Model-based clustering package for mixed data☆13Updated 6 months ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago
- Code for AutoGP☆27Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Multidimensional isotonic regression☆28Updated 8 years ago
- Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.☆41Updated 10 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Open Data Science☆33Updated last year
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- ☆12Updated 6 years ago
- Experimental code for porting PyMC to alternative backends☆26Updated 7 years ago
- Random effects neural networks with Edward and Keras☆14Updated 8 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆13Updated 6 years ago
- ☆16Updated 2 months ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Pre-processing Approaches for Imbalanced Distributions in Regression☆12Updated 4 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- Deepboost R-package for submission☆19Updated 8 years ago
- Python package to visualize and cluster partial dependence.☆28Updated 3 years ago
- Parameter Importance according to OpenML☆13Updated 3 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆34Updated 10 years ago
- Python code for tree ensemble interpretation☆86Updated 4 years ago
- Winners of the Power Laws forecasting competition☆64Updated 2 years ago
- Reproducible & Collaborative Data Science, Fall 2017 - Main class website☆23Updated 7 years ago