ig248 / deepquantiles
Deep Continuous Quantile Regression and other experiments.
☆12Updated 4 years ago
Alternatives and similar repositories for deepquantiles:
Users that are interested in deepquantiles are comparing it to the libraries listed below
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- ☆32Updated 6 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Bayesian Inference and parameter estimation in quant finance.☆43Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Time Series Forecasting and Imputation☆49Updated 3 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆30Updated 2 years ago
- The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library☆12Updated 6 years ago
- Time Series Forecasting Framework☆41Updated 2 years ago
- Using sktime to replicate and extend the M4 forecasting competition☆16Updated 4 years ago
- Code for Probabilistic Sequential Matrix Factorization☆15Updated 3 years ago
- Tensorflow implementation of deep quantile regression☆76Updated 2 years ago
- A forest that is fast☆41Updated 6 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- Files for Python Talk☆24Updated 8 years ago
- Compute set of important operations for HCTSA code☆26Updated 4 years ago
- Probabilistic Principal Component Analysis☆61Updated 7 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆24Updated 4 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆76Updated 7 years ago
- Forecasting library in python☆13Updated 5 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated 2 years ago
- M6-Forecasting competition☆42Updated last year
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆17Updated 7 years ago
- ☆30Updated 7 years ago
- This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…☆26Updated 9 years ago