Search Results for "data entry program"

Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and...

This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations.

GSH builder is a free Galois Sub-Hierarchy visualization tool. The algorithm for calculating GSH is called Pluton and the present Java realization is based on two articles. "Efficiently computing a linear extension of the sub-hierarchy of a Concept Lattice" by Anne Berry, Marianne Huchard, Ross M. McConnell, Alain Sigayret and Jeremy P. Spinrad. "Performances of Galois Sub-hierarchy-building algorithms" by Gabriela Arevalo, Anne Berry, Marianne Huchard, Guillaume Perrot and...

Source code template library for encapsulation of highly-visible program data. Provides storage, access control, and duplication. Enforces modular access pattern, restricting normal functions from object access. Also protects simple objects and POD.

LSystemBuilder is a program for editing and visualizing L-systems. LSystemBuilder makes it easy to explore fractals, FASS-curves and complex branching structures. Naturally LSystemBuilder comes packed with loads of predefined L-systems.