sydneydarren Goto Github PK

ar-net

A simple Auto-Regressive Neural Network for time-series

change_point_detection

Examples of online and offline changepoint detection using the ruptures and changefinder packages

clvtools

R-Package for estimating CLV

croston

datasciencecoursera

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

fforma

R package for Feature-based Forecast Model Averaging

jupyter-latex

Basic Jupyter Notebook Tech Series

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

neural_prophet

NeuralProphet: A simple forecasting package

nixtla

Automated time series processing and forecasting.

pylatex

A Python library for creating LaTeX files

python-wrapper-for-r-forecast

Python wrappers (written using rpy2) for most of the functions in the R Forecast package and some related functions in stats.

sydneydarren

Config files for my GitHub profile.

tsintermittent