luboshanus Goto Github PK

afe

argtools.jl

Tools for writing functions that handle many kinds of IO arguments

awesome-advent-of-code

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

basicts

An Open Source Standard Time Series Forecasting Benchmark.

bvar

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 for the computation of impulse responses and forecasts and provides functionality for assessing results.

darts

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

datasciencetutorials.jl

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

deepar.jl

Julia DeepAR implementation

distrnn.jl

distrnnenergy.jl

Barunik, Jozef and Hanus, Luboš, Learning Probability Distributions of Day-Ahead Electricity Prices

dynamicnets.jl

Code for estimation of Large Dynamic Networks

fluxarchitectures.jl

Complex neural network examples for Flux.jl

gpt4all

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

hyperopt.jl

Hyperparameter optimization in Julia.

intprobds.jl

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

julia-distributed-computing

The ultimate guide to distributed computing in Julia

julianotes.jl

A collection of examples and explanations about Julia

luboshanus.github.io

model-zoo

Please do not feed the models

ndes_summer_2019

stochasticke-procesy

Český učební text na stochastické procesy.

synchrony.jl

Coherence/phase-locking statistics in Julia

tvp-var-estimation-workshop

TVP VAR Workshop

varmodels.jl

Package for fitting vector autoregression (VAR) models.