Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Autogluon	7,205	14	14 days ago	1,168	December 10, 2023	299	apache-2.0	Python
Fast and Accurate ML in 3 Lines of Code
Tscv	226	3	a year ago	9	January 23, 2023	5	bsd-3-clause	Python
Time Series Cross-Validation -- an extension for scikit-learn
Hyperts	225		5 months ago	3	July 21, 2022	22	apache-2.0	Python
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Lfads Torch	34		5 months ago				apache-2.0	Jupyter Notebook
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Replication Pellegrino 2022 Hyperparameters	9		a year ago				bsd-3-clause	Julia
Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting
Crypto Forecasting Benchmark	7		5 months ago			5	mit
This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

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Autogluon ⭐ 7,205

Fast and Accurate ML in 3 Lines of Code

dependent packages 14total releases 1,168most recent commit 14 days ago

Tscv ⭐ 226

Time Series Cross-Validation -- an extension for scikit-learn

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Hyperts ⭐ 225

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

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Lfads Torch ⭐ 34

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

most recent commit 5 months ago

Replication Pellegrino 2022 Hyperparameters ⭐ 9

Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting

most recent commit a year ago

Crypto Forecasting Benchmark ⭐ 7

This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.

most recent commit 5 months ago

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Replication Pellegrino 2022 Hyperparameters vs Crypto Forecasting Benchmark

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