Techtonique / nnetsauceLinks
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
☆20Updated this week
Alternatives and similar repositories for nnetsauce
Users that are interested in nnetsauce are comparing it to the libraries listed below
Sorting:
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Updated 2 years ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 3 weeks ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆26Updated 3 years ago
- Methods and tools for multistep-ahead time series conformal prediction.☆44Updated 3 weeks ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 10 months ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 3 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Updated 4 years ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 5 months ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- Decorators for logging purposes for all your dataframes☆14Updated 11 months ago
- Gaussian Process Model Building Interface☆52Updated 10 months ago
- That's weird: Anomaly detection using R☆43Updated this week
- Toolkit to forge scikit-learn compatible estimators☆19Updated last week
- Wrapper around MLForecast for more plug and play forecasting☆10Updated 2 years ago
- MetaLearners for CATE estimation☆49Updated this week
- ☆16Updated 9 months ago
- ForeCA: Forecastable Component Analysis in R☆16Updated 5 years ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated last month
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated last year
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17Updated 7 months ago
- Resources for some of our education content☆46Updated 4 months ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- intro to ML☆28Updated last week
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Methods for Temporal Disaggregation and Interpolation of Time Series☆42Updated 2 months ago
- Polars Time Series Extension☆32Updated 2 months ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆48Updated 3 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last week