S-Driscoll / Projection-pursuit
Code for performing various projection pursuit routines
☆35Updated 2 years ago
Alternatives and similar repositories for Projection-pursuit:
Users that are interested in Projection-pursuit are comparing it to the libraries listed below
- Python package for automatically constructing features from multiple time series☆39Updated 5 months ago
- Global, derivative-free optimization for hyperparameter tuning☆40Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated 11 months ago
- Advanced random forest methods in Python☆58Updated last year
- A Python 3 package for state-of-the-art statistical dimension reduction methods☆40Updated 8 months ago
- python implementation of catch22☆77Updated 4 months ago
- Elo ratings for global black box derivative-free optimizers☆137Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆171Updated 2 years ago
- Distance correlation and related E-statistics in Python☆147Updated 4 months ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆76Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 3 months ago
- A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.☆20Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- A Python library for machine-learning and feedback loops on streaming data☆60Updated last year
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆81Updated 3 months ago
- A python package for time series forecasting with scikit-learn estimators.☆160Updated 9 months ago
- Group Lasso implementation following the scikit-learn API☆106Updated 7 months ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- Sparse projection pursuit☆12Updated 2 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆72Updated 4 months ago
- Bayesian time series forecasting and decision analysis☆116Updated last year
- A python multi-variate time series prediction library working with sklearn☆93Updated 4 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated last year
- All Relevant Feature Selection☆125Updated this week
- Time series forecasting with PyTorch☆83Updated 3 weeks ago
- Implementation of the Rotation Forest by Rodriques et al. 2006☆15Updated last month
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Probabilistic prediction with XGBoost.☆102Updated 6 months ago
- Dynamic Time Warping☆39Updated 4 months ago