Jupyter Notebook Statistics

Open-source Jupyter Notebook projects categorized as Statistics Edit details

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: Predicting the distribution of a variable rather than a point estimate | reddit.com/r/datascience | 2022-08-14

    You’re welcome! I would recommend Bayesian Methods for Hackers

  • probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    Project mention: [P] Any good resources which can help me with Multivariate Time Series Forecasting using Probabilistic Machine Learning? | reddit.com/r/MachineLearning | 2022-08-14
  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • hyperlearn

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

    Project mention: [Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn. | reddit.com/r/MachineLearning | 2022-06-02

    Hello everyone!! It's been a while!! Years back I released Hyperlearn https://github.com/danielhanchen/hyperlearn. It has 1.2K Github stars, where I made tonnes of algos faster:

  • statsforecast

    Lightning ⚡️ fast forecasting with statistical and econometric models.

    Project mention: [Q] Weekly time series forecasting | reddit.com/r/statistics | 2022-08-02

    It is available in the StatsForecast package.

  • imodels

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

    Project mention: Random Forest Estimation Question | reddit.com/r/datascience | 2022-07-04

    Option 2) fit a model from https://github.com/csinva/imodels on the predicted values of the RF

  • geomstats

    Computations and statistics on manifolds with geometric structures.

    Project mention: Package for Computations and Statistics on Manifolds | news.ycombinator.com | 2022-01-10
  • edward2

    A simple probabilistic programming language.

    Project mention: Is Edward2 still a part of Tensorflow/Tensorflow Probability or is it discontinued? | reddit.com/r/tensorflow | 2022-06-23
  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • facet

    Human-explainable AI.

  • 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.

  • data-science-learning

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

    Project mention: error: the following arguments are required: -i/--input-path, -o/--output-path How to define these? | reddit.com/r/learnpython | 2022-01-14

    https://github.com/5agado/data-science-learning/tree/master/graphics/learn_to_paint - github

  • 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

  • covid19-severity-prediction

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

  • ISL-python

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

    Project mention: ESL vs ISLR books? | reddit.com/r/datascience | 2021-10-12

    Here or here for the Python versions of ISLR.

  • teaching-monolith

    Data science teaching materials

    Project mention: Linear Programming | reddit.com/r/datascience | 2021-11-16

    I've created a short course on linear programming - you can find the resources here - https://github.com/ADGEfficiency/teaching-monolith/tree/master/linear-programming

  • gan-vae-pretrained-pytorch

    Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

    Project mention: DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images? | reddit.com/r/learnmachinelearning | 2022-03-13

    I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.

  • 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).

    Project mention: [R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments | reddit.com/r/MachineLearning | 2022-03-06

    ​Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification

  • hierarchicalforecast

    Hierarchical 👑 forecasting with statistical and econometric methods.

    Project mention: Time series forecasting model predicts increasing number for target variable when the actual values are zeroes | reddit.com/r/datascience | 2022-08-01

    You can try HierarchicalForecast package to reconciliate predictions.

  • PyImpetus

    PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

  • ltt

    Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

    Project mention: [R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments | reddit.com/r/MachineLearning | 2022-03-06

    ​Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control https://arxiv.org/abs/2110.01052 https://github.com/aangelopoulos/ltt

  • eip1559_analysis

    Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.

  • humble-benchmarks

    Benchmarking programming languages using statistics and machine learning algorithms

  • extreme-heat-excess-deaths-analysis

    A statistical analysis of excess deaths attributable to extreme heat in California's most populous counties

    Project mention: End filibuster | reddit.com/r/Political_Revolution | 2022-07-14
  • condo-adapter

    Confounded Domain Adapter

    Project mention: Great thread on the importance of EDA and confounder adjustment prior to differential expression analysis (RNA-seq) | reddit.com/r/bioinformatics | 2022-04-12

    Fwiw, last week I released a new method for batch correction that conditions on confounders which are correlated with the batch variable. Preprint here: https://arxiv.org/abs/2203.12720 and Python code here: https://github.com/calvinmccarter/condo-adapter.

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). The latest post mention was on 2022-08-14.

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 24,703
2 probability 3,753
3 hyperlearn 1,402
4 statsforecast 880
5 imodels 875
6 geomstats 793
7 edward2 586
8 facet 403
9 DataScienceProjects 384
10 data-science-learning 373
11 the-elements-of-statistical-learning 354
12 covid19-severity-prediction 206
13 ISL-python 135
14 teaching-monolith 134
15 gan-vae-pretrained-pytorch 131
16 conformal_classification 127
17 hierarchicalforecast 124
18 PyImpetus 92
19 ltt 26
20 eip1559_analysis 11
21 humble-benchmarks 5
22 extreme-heat-excess-deaths-analysis 2
23 condo-adapter 1
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