Stars
Interactive data exploration with Altair
Machine Learning for Economists, Spring 2019
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Awesome time series forecasting papers and codes
STUMPY is a powerful and scalable Python library for modern time series analysis
Make awesome display tables using Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Official repository for the book Time Series Forecasting with Foundation Models
Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
Forecasting lectures and tutorials using Python
Forecasting: Principles and Practice (2nd ed)
Forecasting: Principles and Practice
Python-centered read-along of Forecasting: Principles and Practice
DoubleML - Double Machine Learning in Python
NeuralProphet: A simple forecasting package
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
Understanding Deep Learning - Simon J.D. Prince
This repository contains everything you need to become proficient in Machine Learning
Insert and import citations, bibliographies, notes, and PDF annotations from Zotero into Obsidian.
Helper functions to plot, evaluate, preprocess and engineer features for forecasting
Fast implementations of common forecasting routines
Scalable machine 🤖 learning for time series forecasting.
Scalable and user friendly neural 🧠 forecasting algorithms.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.