Explorations in causality, Interpretable Machine Learning, Statistics, geospatial analysis
solitude. An implementation of Isolation forest
25safer. A consistent interface to encrypt and decrypt strings, R objects, files
24r_neural_network_deep_learning. This is a curated list of libraries and frameworks for Neural network and deep learning in R
23statsLearningNotes. A assorted collection of free and open notes, courses and books in Statistical learning
14tidyrules. Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on unseen data
11pkggraph. A consistent and intuitive platform to explore the dependencies of packages in CRAN like repositories
10sidekicks. A Misc Set of Functions for Data Analysis
4bigdist. Store Distance Matrices on Disk:
4slimrec. Sparse Linear Method to Predict Ratings and Top-N Reccomendations
3tidier. dplyr friendly spark style window aggregation for R dataframes and remote dbplyr tbls
3dfvis. ggplot2 based implementation of tabplot
3disto. Unified Interface for Distances Matrices in R |
2learn_devops_data_engg. (wip) Notes on learnings from model deployment, REST API setup and tools
1forager. Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data
1fileplyr. Perform chunkwise processing or split-apply-combine on data in a CSV
1ptron. An Perceptron implementation in R with bells and whistles
1ggisotonic. Add isotonic or monotonic regression curves to ggplots
1outlierUtils. R utilities to detect outliers
1autoEDA-resources. A list of software and papers related to automatic and fast Exploratory Data Analysis
1broadcast. Numpy style broadcasting for R matrices
1aleader. An implementation of streaming leader clustering algorithm in R
1clustering-tagged-data. Code for shiny to cluster tagged data -- based on 'analyzing tagged data'
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