[P] Introducing confidenceinterval, the long missing python library for computing confidence intervals

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
featured
Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
featured
  1. confidenceinterval

    The long missing library for python confidence intervals

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
  3. awesome-experimental-standards-deep-learning

    Repository collecting resources and best practices to improve experimental rigour in deep learning research.

    Very neat! I will add this to https://github.com/Kaleidophon/experimental-standards-deep-learning-research :-)

  4. PyForecastTools

    Forecast Verification/Validation Tools in Python

    Nice to see a python implementation of deLong's method - I've had to use pROC (in R) for that in the past. For binary event analysis (among other things) there's also https://github.com/drsteve/PyForecastTools, which also has bootstrapped confidence intervals, or analytic CI using Wald or Agresti-Coull. The terminology is from weather literature, but it covers a lot of the same ground.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Anybody building ML models in C++?

    3 projects | /r/cpp_questions | 21 Mar 2023
  • [D] Fixing the angle of Skewed Paintings, see comments

    2 projects | /r/MachineLearning | 6 Jan 2023
  • How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?

    1 project | /r/computervision | 23 Oct 2022
  • I just realized yolov5 is GPL-3

    1 project | /r/computervision | 12 Oct 2022
  • I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.

    1 project | /r/Streamlit | 6 Sep 2022

Did you know that Python is
the 2nd most popular programming language
based on number of references?