tmadl / highdimensional-decision-boundary-plotLinks
Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
☆231Updated last year
Alternatives and similar repositories for highdimensional-decision-boundary-plot
Users that are interested in highdimensional-decision-boundary-plot are comparing it to the libraries listed below
Sorting:
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 7 years ago
- A garden for scikit-learn compatible trees☆287Updated 11 months ago
- Supporting notebooks and data from hypertools paper☆147Updated 6 years ago
- optimization routines for hyperparameter tuning☆419Updated last year
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago
- Exploration of methods for coloring t-SNE.☆219Updated 8 years ago
- ☆134Updated 5 years ago
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 4 years ago
- Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…☆217Updated 7 years ago
- Yet Another Hidden Markov Model repository.☆248Updated 9 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- ☆125Updated 4 years ago
- megaman: Manifold Learning for Millions of Points☆327Updated 2 years ago
- ☆100Updated 7 years ago
- Python implementation of elastic-net regularized generalized linear models☆282Updated last year
- Code for Mondrian Forests (for classification and regression)☆265Updated 9 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters☆275Updated last year
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆518Updated 3 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Explore high-dimensional datasets and how your algo handles specific regions.☆107Updated 6 years ago
- Python toolbox for nonnegative matrix factorization☆114Updated 7 years ago
- Render probabilistic graphical models using matplotlib☆679Updated this week
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago