Bengaluru

Srikanth K S

Elite
@talegari

Explorations in causality, Interpretable Machine Learning, Statistics, geospatial analysis

solitude. An implementation of Isolation forest

25

safer. A consistent interface to encrypt and decrypt strings, R objects, files

24

r_neural_network_deep_learning. This is a curated list of libraries and frameworks for Neural network and deep learning in R

23

statsLearningNotes. A assorted collection of free and open notes, courses and books in Statistical learning

14

tidyrules. Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on unseen data

11

pkggraph. A consistent and intuitive platform to explore the dependencies of packages in CRAN like repositories

10

sidekicks. A Misc Set of Functions for Data Analysis

4

bigdist. Store Distance Matrices on Disk:

4

slimrec. Sparse Linear Method to Predict Ratings and Top-N Reccomendations

3

tidier. dplyr friendly spark style window aggregation for R dataframes and remote dbplyr tbls

3

dfvis. ggplot2 based implementation of tabplot

3

disto. Unified Interface for Distances Matrices in R |

2

learn_devops_data_engg. (wip) Notes on learnings from model deployment, REST API setup and tools

1

forager. Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data

1

fileplyr. Perform chunkwise processing or split-apply-combine on data in a CSV

1

ptron. An Perceptron implementation in R with bells and whistles

1

ggisotonic. Add isotonic or monotonic regression curves to ggplots

1

outlierUtils. R utilities to detect outliers

1

autoEDA-resources. A list of software and papers related to automatic and fast Exploratory Data Analysis

1

broadcast. Numpy style broadcasting for R matrices

1

aleader. An implementation of streaming leader clustering algorithm in R

1

clustering-tagged-data. Code for shiny to cluster tagged data -- based on 'analyzing tagged data'

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