Jupyter Notebook Statistics

Open-source Jupyter Notebook projects categorized as Statistics
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Topics: Python Machine Learning Data Science Deep Learning jupyter-notebook
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Top 23 Jupyter Notebook Statistic Projects

  • Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    • Project mention: Probabilistic Programming and Bayesian Methods for Hackers (2013) | news.ycombinator.com | 2024-02-10

  • probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    • Project mention: How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have? | /r/datascience | 2023-06-17

    TensorFlow-Probability

  • 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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  • cracking-the-data-science-interview

    A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

    • Project mention: Can someone recommend some website for data science interview preparation | /r/datascience | 2023-06-02

  • ML-foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  • 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!

  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

  • ppde642

    USC urban data science course series with Python and Jupyter

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo

  • geomstats

    Computations and statistics on manifolds with geometric structures.

  • fecon235

    Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

    • Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:1033.0 | /r/algoprojects | 2023-12-10

  • lovely-tensors

    Tensors, ready for human consumption

  • edward2

    A simple probabilistic programming language.

  • DataScienceProjects

    The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

  • Basic-Mathematics-for-Machine-Learning

    The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

  • data-science-learning

    Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

  • the-elements-of-statistical-learning

    My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

  • monad-bayes

    A library for probabilistic programming in Haskell.

  • datacamp

    🍧 DataCamp data-science and machine learning courses

  • Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

    Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

    • Project mention: Mathematics for Machine Learning and Data Science Specialization - Coursera | /r/programming | 2023-05-28

  • Econometrics-With-Python

    Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

    • Project mention: Python for Econometrics for Practitioners [Free Online Courses] | /r/CompSocial | 2023-08-24

    Econometrics with Python: This is a crash course for reviewing the most important concepts and techniques of econometrics. The theories are presented lightly without hustles of mathematical derivation and Python codes are mostly procedural and straightforward. Core concepts covered: multi- linear regression, logistic model, dummy variable, simultaneous equations model, panel data model and time series.

  • covid19-severity-prediction

    Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

  • conformal_classification

    Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

  • ISL-python

    Porting the R code in ISL to python. Labs and exercises

    • Project mention: Andrew Ng's Machine Learning Specialization or Introduction to Statistical Learning? For someone who's comfortable with mathematics. | /r/learnmachinelearning | 2023-05-28

    https://github.com/emredjan/ISL-python this GitHub has the exercises in python but I am so pumped the python version is coming out this summer.

  • Introduction_to_statistical_learning_summary_python

    Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

  • 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).

Jupyter Notebook Statistics related posts

Index

What are some of the best open-source Statistic projects in Jupyter Notebook? This list will help you:

Project Stars
1 Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 26,341
2 probability 4,131
3 cracking-the-data-science-interview 3,174
4 ML-foundations 2,945
5 hyperlearn 1,510
6 imodels 1,288
7 ppde642 1,254
8 geomstats 1,148
9 fecon235 1,088
10 lovely-tensors 1,048
11 edward2 663
12 DataScienceProjects 630
13 Basic-Mathematics-for-Machine-Learning 567
14 data-science-learning 401
15 the-elements-of-statistical-learning 397
16 monad-bayes 395
17 datacamp 303
18 Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera 287
19 Econometrics-With-Python 250
20 covid19-severity-prediction 227
21 conformal_classification 211
22 ISL-python 181
23 Introduction_to_statistical_learning_summary_python 166

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