Statsmodels

Open-source projects categorized as Statsmodels

Top 7 Statsmodel Open-Source Projects

  • m2cgen

    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

  • mars

    Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • hyperlearn

    2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

  • Project mention: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning | news.ycombinator.com | 2023-12-01

    Good point - the main issue is we encountered this exact issue with our old package Hyperlearn (https://github.com/danielhanchen/hyperlearn).

    I OSSed all the code to the community - I'm actually an extremely open person and I love contributing to the OSS community.

    The issue was the package got gobbled up by other startups and big tech companies with no credit - I didn't want any cash from it, but it stung and hurt really bad hearing other startups and companies claim it was them who made it faster, whilst it was actually my work. It hurt really bad - as an OSS person, I don't want money, but just some recognition for the work.

    I also used to accept and help everyone with their writing their startup's software, but I never got paid or even any thanks - sadly I didn't expect the world to be such a hostile place.

    So after a sad awakening, I decided with my brother instead of OSSing everything, we would first OSS something which is still very good - 5X faster training is already very reasonable.

    I'm all open to other suggestions on how we should approach this though! There are no evil intentions - in fact I insisted we OSS EVERYTHING even the 30x faster algos, but after a level headed discussion with my brother - we still have to pay life expenses no?

    If you have other ways we can go about this - I'm all ears!! We're literally making stuff up as we go along!

  • report

    :scroll: :tada: Automated reporting of objects in R

  • predictive-horizontal-pod-autoscaler

    Horizontal Pod Autoscaler built with predictive abilities using statistical models

  • scikit-hts

    Hierarchical Time Series Forecasting with a familiar API

  • Rating-Correlations

    Predicts chess960 or crazyhouse ratings given bullet or blitz and others for either Lichess.org or Chess.com servers.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Statsmodels related posts

  • Finding a package that writes out interpretive text

    2 projects | /r/rstats | 8 Mar 2023
  • Looking for a package that writes out interpretive text

    1 project | /r/Rlanguage | 8 Mar 2023
  • easystats/report: Automated reporting of objects in R for rmarkdown use {R}

    1 project | /r/Sciatro | 5 Jun 2022
  • [Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn.

    2 projects | /r/MachineLearning | 2 Jun 2022

Index

What are some of the best open-source Statsmodel projects? This list will help you:

Project Stars
1 m2cgen 2,724
2 mars 2,678
3 hyperlearn 1,578
4 report 665
5 predictive-horizontal-pod-autoscaler 328
6 scikit-hts 219
7 Rating-Correlations 1

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