1.microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Ranked by Attention Score: stars gained over the last 7 complete days
45 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Apache Spark - A unified analytics engine for large-scale data processing
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
mal - Make a Lisp
A curated list of awesome R packages, frameworks and software.
A curated list of awesome responsible machine learning resources.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
An implementation of the Grammar of Graphics in R
List of Data Science Cheatsheets to rule the world
R for data science: a book
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
R Weekly
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
📚 Parameterize, execute, and analyze notebooks
Easy interactive web applications with R
Realtime Web Apps and Dashboards for Python and R
A 21 century R console
Enhancing {ggplot2} plots with statistical analysis 📊📣
Create Blogs and Websites with R Markdown
Graph and network visualization using tabular data in R
Presentation Ninja 幻灯忍者 · 写轮眼
Turn your R code into a web API.
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
mlr3: Machine Learning in R - next generation
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
An R package for the Quantitative Analysis of Textual Data
R wrapper for highcharts
Fast, sensitive and accurate integration of single-cell data with Harmony
Generate R package documentation from inline R comments
R package for web-based interactive topic model visualization.
Read SPSS, Stata and SAS files from R
Simple JSON Parser and Generator for R
Embedded JavaScript Engine for R
Methods for Image-Based Cell Profiling