Search Results for "data entry"

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...

...Inspiration is taken from mpi4py, although we generally follow the C and not the C++ MPI API. (The C++ MPI API is deprecated.) MPI is based on a single program, multiple data (SPMD) model, where multiple processes are launched running independent programs, which then communicate as necessary via messages. As the main entry point for users, MPI.jl provides a high-level interface which loosely follows the MPI C API and is described in details in the following sections. The syntax should look familiar if you know MPI already, but some arguments may not be needed (e.g. the type or the number of elements of arrays, which are inferred automatically), others may be placed slightly differently, and others may be optional keyword arguments (e.g. for the index of the root process, or the source and destination of point-to-point communication functions).

A multimodal/non-Gaussian robotic toolkit for localization and mapping -- reducing the barrier of entry for sensor/data fusion tasks, including Simultaneous Localization and Mapping (SLAM). Code changes are currently tracked via Github's integrated Milestone/Issues/PR system.

Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab.

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 reliable training process.

tota11y helps visualize how your site performs with assistive technologies. The process of testing for accessibility (a11y) is often tedious and confusing. In many cases, developers must have some prior accessibility knowledge in order to make sense of the results. Instead, tota11y aims to reduce this barrier of entry by helping visualize accessibility violations (and successes), while educating on best practices. tota11y is a single JavaScript file that inserts a small button in the bottom...

Bias is a cross-platform versatile information management application / Organizer

ShelterOps is a PHP based software program to manage animal operations for animal welfare organizations, animal rescues, wildlife rescue/rehabilitation facilities, animal control agencies (ACOs) and any other entities that need to track animal intake, dispositions, medical procedures, assessment, etc. It offers a basic Point Of Sale (POS) system for services, licenses, merchandise and general ledger integration for accounting, as well as several optional modules to extend functionality...

VertyCal, short for Vertical Calendar, is a PHP MySQLi application for creating calendar based vertical table cell data managed entries; with the output being viewable to the public and the input functions restricted to a log in access only. Removing entries may only be executed by log in status as well as adding notation to each entry as an update query. Now a WordPress plugin. see: https://wordpress.org/plugins/vertycal/

A simple little engine to do fuzzy name & address searching. Helps improve data quality and avoids duplicate data entry.