A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

A project to demonstrate using Rcpp to call C++ functions from R/RStudio

LLM training in simple, raw C/CUDA

An R package for extreme quantile regression with random forests

Color maps and C++ header files for color conversion

Recurrent Neural Networks in R

Table reporting extension for qlik sense

Variable extension for Qlik Sense

Distributional Random Forests (Cevid et al., 2020)

A Qlik Sense extension that allows a high customization of the app with no code and no CSS knowledge.

Predicting Walmart's Quarterly Earnings - Pytorch LSTM Example

Embed Julia in R

An R package to exchange commands between R and JavaScript

ETNA – Time-Series Library

jquery tree plugin

Various Kazakhstani Maps offers as Data Frames and 'sf' Objects

Linear Classification with Online Adaptation of Coordinate Frequencies

Advanced and Fast Data Transformation in R

neuralnetwork implements the simple neural network architecture.

Python Plugin to add Machine Learning capabilities in Qlik.

Automate custom map setup in Qlik.

UI to ease the data modelling experience using Qlik Associative Engine.

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

This repository contains R codes for several analytical tools mainly used by industrial and systems engineers.

Code-generate C++ from R

🌌 The R easystats-project

Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders