Julia DeepAR implementation

The ultimate guide to distributed computing in Julia

Package for fitting vector autoregression (VAR) models.

Julia code to accompany https://probability4datascience.com/index.html

A python library for user-friendly forecasting and anomaly detection on time series.

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

Tools for writing functions that handle many kinds of IO arguments

An Open Source Standard Time Series Forecasting Benchmark.

A collection of awesome resources related to the yearly Advent of Code challenge.

Please do not feed the models

A collection of examples and explanations about Julia

Complex neural network examples for Flux.jl

Hyperparameter optimization in Julia.

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows…

Code for estimation of Large Dynamic Networks

TVP VAR Workshop

Coherence/phase-locking statistics in Julia

Český učební text na stochastické procesy.