There are 0 repository under discretization topic.
A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the discretization of signed distance fields.
Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
ChiMerge: Discretization of Numeric Attributes
DDC is a discrete domain computation library.
Classic problems in chemical engineering solved with matlab
Time Series Tokenizer inspired by Symbolic Aggregate approXimation (SAX) for seamlessly training LLMs with time-series data.
In this all Projects dealing with reinforcement learning wil be uploaded
Step by Step Reinforcement Learning Tutorials.
Function to generate almost uniformly points on a sphere
Credit scoring modeling toolbox based on R
JMat is a library which implements fundamental matrix capabilities in Java.
glmdisc Python package: discretization, factor level grouping, interaction discovery for logistic regression
Voronoi diagrams in N dimensions using an improved raycasting method.
Mortar2D.jl is a Julia package to calculate discrete projections between non-conforming finite element meshes. The resulting "mortar matrices" can be used to tie non-conforming finite elements meshes together in an optimal way.
:memo: ML Paper implementation: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
This is a simulation project for the seconder order discretization schemes for the CIR process.
Kernel density integral transformation: feature preprocessing and univariate clustering
A gh-pages site to host SWC style training materials for various HPC math packages
Quick Layered Correlation-based Feature Filtering
Built a voice-controlled car from scratch incorporating machine learning methods such as the Euclidean Classifier and k-NN Classifier, open and closed loop feedback control systems, principal component analysis, regression analysis, and transient analysis
A gh-pages site to host SWC style training materials for various HPC math packages
LFD is a data-driven discretization technique that does not require any user input. LFD uses low frequency values as cut points and thus reduces the information loss due to discretization. It uses all other categorical attributes and any numerical attribute that has already been categorized.
Discretization of Normal random variables and simulations
Various Problems in Digital Control Systems