Techtonique / nnetsauceLinks
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
☆20Updated 3 weeks ago
Alternatives and similar repositories for nnetsauce
Users that are interested in nnetsauce are comparing it to the libraries listed below
Sorting:
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated last month
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆26Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆32Updated 2 years ago
- Methods and tools for multistep-ahead time series conformal prediction.☆44Updated this week
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 3 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 10 months ago
- That's weird: Anomaly detection using R☆43Updated 3 months ago
- 🥄✨Time-series Benchmark methods that are Simple and Probabilistic☆41Updated 2 years ago
- R package to compute distribution-free prediction bands using density estimators☆11Updated 4 years ago
- intro to ML☆28Updated 2 months ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- Polars Time Series Extension☆32Updated last month
- ☆13Updated 3 years ago
- MetaLearners for CATE estimation☆49Updated 2 weeks ago
- Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference☆25Updated 3 years ago
- Decorators for logging purposes for all your dataframes☆14Updated 10 months ago
- Toolkit to forge scikit-learn compatible estimators☆19Updated 2 weeks ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 11 months ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Time Series Ensemble Forecasting☆80Updated this week
- An R package "rfinterval": Predictive Inference on Random Forests☆13Updated 6 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last month
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17Updated 7 months ago
- Integrated tool for model development and validation☆33Updated last month
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- ☆24Updated 2 months ago
- ☆16Updated 9 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆10Updated 10 months ago
- Resources for some of our education content☆46Updated 4 months ago