Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
☆124Apr 9, 2024Updated last year
Alternatives and similar repositories for R-Deep-Learning
Users that are interested in R-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆194Mar 25, 2021Updated 4 years ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆139Feb 6, 2023Updated 3 years ago
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…☆45Mar 1, 2023Updated 2 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆66Mar 10, 2019Updated 6 years ago
- D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import d…☆169Jan 6, 2023Updated 3 years ago
- A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)☆76Oct 24, 2019Updated 6 years ago
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆38Mar 13, 2023Updated 2 years ago
- Collection of articles for the Machine Learning Journal Club☆11Mar 4, 2020Updated 5 years ago
- This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.☆53Oct 17, 2023Updated 2 years ago
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Jun 8, 2020Updated 5 years ago
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Nov 9, 2023Updated 2 years ago
- The joy and power of functional programming in R☆28May 4, 2022Updated 3 years ago
- Workshop on fetching and mapping census data with tidycensus☆14Apr 1, 2022Updated 3 years ago
- R package exposing the rapidjsonr c++ header-only library☆16Nov 23, 2025Updated 3 months ago
- torch from R!☆51Aug 7, 2020Updated 5 years ago
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆136Apr 9, 2024Updated last year
- A Docker container with base R + several parallel/asynchronous packages☆17Oct 19, 2021Updated 4 years ago
- Make R and your Mac speak☆15Nov 5, 2021Updated 4 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Feb 18, 2024Updated 2 years ago
- ☆27Oct 14, 2024Updated last year
- D-Lab R-intensive teaching materials☆22Mar 8, 2017Updated 8 years ago
- A list of useful resources for getting started with spatial data in R☆24Dec 23, 2019Updated 6 years ago
- 😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers☆18Nov 28, 2024Updated last year
- Recursive partitioning (tree models) of psychometric networks☆13Sep 5, 2022Updated 3 years ago
- R interface to Spark TensorFlow Connector☆13Sep 13, 2021Updated 4 years ago
- A bit like 'stats::optim', but with torch☆10Apr 2, 2021Updated 4 years ago
- D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆91Oct 15, 2025Updated 4 months ago
- R Interface to MLeap☆24Oct 22, 2022Updated 3 years ago
- A quick reference for how to run many models in R.☆13May 19, 2018Updated 7 years ago
- Load Avro data into Spark with sparklyr☆12Jun 4, 2020Updated 5 years ago
- ☆10Nov 30, 2022Updated 3 years ago
- R Package for Hierarchical Regularized Regression to Incorporate External Data☆10Dec 17, 2025Updated 2 months ago
- Explain black box with GLM☆23Oct 4, 2019Updated 6 years ago
- R interface to Google Cloud Machine Learning Engine☆65Dec 3, 2025Updated 2 months ago
- R package for estimating speaker style distinctiveness in texts. Install it from CRAN!☆34Mar 4, 2021Updated 4 years ago
- R package with functions as described in thats-so-random.com☆13Jan 14, 2020Updated 6 years ago
- Open source platform for the complete machine learning lifecycle☆15Aug 25, 2018Updated 7 years ago
- Materials for Random Forests training☆10Dec 7, 2018Updated 7 years ago
- R API for AMPL☆16Feb 17, 2026Updated last week