IDA-HumanCapital / fife
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
☆22Updated last year
Alternatives and similar repositories for fife
Users that are interested in fife are comparing it to the libraries listed below
Sorting:
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- This repository is for my master's project, A Survey of Deep Learning Architectures for Algorithmic Cryptocurrency Trading, delivered on …☆9Updated 2 years ago
- 📦 Python library providing Two-Piece distributions functionality. It covers the subfamilies: TP Scale, TP Shape, and Double TP.☆11Updated 11 months ago
- Random Forest-based "Correlation" measures☆15Updated 3 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'☆15Updated 4 years ago
- Hierarchical Forecasting at Scale☆13Updated last year
- Compute set of important operations for HCTSA code☆26Updated 5 years ago
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- Forecasting library in python☆13Updated 5 years ago
- Exploring the classical regression capabilities of LLMs.☆18Updated 11 months ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents☆22Updated 6 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated last year
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆13Updated 2 years ago
- Validation for forecasts☆18Updated 2 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 3 years ago
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- ☆10Updated 4 years ago
- Hybrid ES-RNN models for time series forecasting☆19Updated 3 years ago
- Distributional Gradient Boosting Machines☆26Updated 2 years ago
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆15Updated 5 years ago
- ☆14Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Time-Series Cross-Validation Module☆44Updated 3 years ago
- Forecasting with Hyper-Trees☆16Updated 6 months ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- ☆10Updated 5 years ago
- Easy Nearest Neighbor Estimation of Mutual Information☆37Updated 6 months ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 9 months ago