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The Top 23 Data Science Statistics Open Source Projects

Open source projects categorized as Data Science Statistics
Categories > Data Processing > Data Science
Categories > Data Processing > Statistics
Brucer ⭐ 131
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
dependent packages 4total releases 18most recent commit 7 months ago
Awesome Decision Science ⭐ 123
An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.
most recent commit 3 months ago
Stadata ⭐ 123
STADATA is a Python package that simplifies access to statistical data provided by BPS - Statistics Indonesia
total releases 6most recent commit 6 months ago
Hierarchical Dnn Interpretations ⭐ 119
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
total releases 7most recent commit 3 years ago
Awesome Shiny Apps For Statistics ⭐ 119
🌟 A curated list of Awesome Shiny Apps for Statistics (ASAS)🌟
most recent commit 6 years ago
Gun Violence Data ⭐ 114
A comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.
most recent commit 6 years ago
Introdatascience ⭐ 110
Notes on Data Science. 数理统计、机器学习和数据编程的学习笔记。
most recent commit 6 years ago
Probatus ⭐ 110
Validation of classifiers and data used to develop them
dependent packages 1total releases 36most recent commit 5 months agopypi probatus} Downloads
Introduction_to_statistical_learning_summary_python ⭐ 109
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
most recent commit 2 years ago
Probflow ⭐ 108
A Python package for building Bayesian models with TensorFlow or PyTorch
total releases 12most recent commit 3 years ago
Books ⭐ 106
Books related to AI/ML/DL/GENAI
most recent commit 6 months ago
Birch ⭐ 101
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
most recent commit 7 months ago
Confidenceinterval ⭐ 101
The long missing library for python confidence intervals
total releases 5most recent commit 6 months ago
Sl3 ⭐ 98
💪 🤔 Modern Super Learning with Machine Learning Pipelines
most recent commit 9 months ago
Tabletransforms.jl ⭐ 98
Transforms and pipelines with tabular data in Julia
most recent commit 3 months ago
Data_sciences_campaign ⭐ 96
【数据科学家系列课程】
most recent commit 3 months ago
Metriculous ⭐ 94
Measure and visualize machine learning model performance without the usual boilerplate.
total releases 4most recent commit 4 months ago
Bayesian Cognitive Modeling In Pymc3 ⭐ 90
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
most recent commit 6 years ago
Openml R ⭐ 90
R package to interface with OpenML
dependent packages 3total releases 11most recent commit 2 years ago
Btsa ⭐ 88
Berlin Time Series Analysis Repository
most recent commit a year ago
Doubleml For R ⭐ 88
DoubleML - Double Machine Learning in R
total releases 12most recent commit 10 months ago
Deepr ⭐ 80
Deep R Programming (Open-Access Textbook)
most recent commit 3 months ago
Cogent3 ⭐ 79
Comparative Genomics Toolkit 3
dependent packages 2total releases 18most recent commit 3 months agopypi cogent3} Downloads
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