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modelradar

Model Radar for Performance Analysis

model_compression_forecasting

Model Compression for Forecasting -- deploying dynamic ensembles as individual forecasting models

model_selection_forecasting

Model Selection for Time Series Forecasting

mo_ensembles

Multi-output Ensembles for Multi-step Forecasting

mtrnn

A toy implementation of MTRNNs (multiple timescale recurrent neural networks) for sine prediction

n-beats

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

networksampling

Sampling Large Scale Networks with Metropolis-Hastings Random Walk, with Python

ondat

On-the-fly Data Augmentation for Time Series

opera

Online Prediction by ExpeRt Aggregation

performance_estimation

Performance estimation for time series forecasting tasks

quant

Quantitative Analysis Research see more at https://teddykoker.com

shinyproxy-template

Examples for R Shiny app + docker + ShinyProxy deployment

studd

Unsupervised Concept Drift Detection or Model Monitoring

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

test

timeseriesdata

Time series data sets

tsa4climate

Tackling Climate Change with Time Series Analysis and Forecasting

tsensembler

R package - Dynamic Ensembles for Time Series Forecasting

tser

Time Series Entity Resampling

tsfeatures

Calculates various features from time series data. Python implementation of the R package tsfeatures.

tutorial

Tutorial on Bayesian tests for Machine Learning

unsupervised_concept_drift

vest

Automatic Feature Engineering for Time Series

vest-python

wave_height_data

Significant Wave Height Time Series

yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)

zipline

Zipline, a Pythonic Algorithmic Trading Library