dream-faster / fold

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

Date Created 2022-12-16 (2 years ago)

Commits 453 (last one about a year ago)

Stargazers 101 (0 this week)

Watchers 1 (0 this week)

Forks 7

License other

Ranking

RepositoryStats indexes 630,443 repositories, of these dream-faster/fold is ranked #304,317 (52nd percentile) for total stargazers, and #555,755 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #57,550/128,655.

dream-faster/fold is also tagged with popular topics, for these it's ranked: python (#13,227/23363), deep-learning (#5,168/8798), machine-learning (#4,893/8384), time-series (#410/697), forecasting (#114/197), time-series-forecasting (#67/111), backtesting (#66/107)

Other Information

dream-faster/fold has 1 open pull request on Github, 386 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 119 closed issues.

There have been 26 releases, the latest one was published on 2024-02-29 (about a year ago) with the name 2.0.1.

Homepage URL: https://dream-faster.github.io/fold/

All Topics

python adaptive online-ml nowcasting backtesting forecasting time-series deep-learning machine-learning online-machine-learning time-series-forecasting financial-machine-learning time-series-classification time-series-cross-validation

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453 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2025-03-03 @ 03:37pm, id: 579079401 / R_kgDOIoQM6Q