A behavioral analytics library that uses dom mutations and user interactions to generate aggregated insights.
Обновлено 2024-11-19 01:50:34 +03:00
Platform for Situated Intelligence
artificial-intelligence
perception
framework
component-library
streaming
stream-processing
human-robot-interaction
multimodal
multimodal-interactions
pipelines
Обновлено 2024-11-08 21:16:09 +03:00
Port of Windows UWP Xaml Behaviors for Avalonia Xaml.
xaml
c-sharp
avalonia
action
avaloniaui
mvvm
multi-platform
bahaviors
behavior
interaction
interactions
interactivity
Обновлено 2024-11-02 00:03:47 +03:00
This repository contains a sample application showcasing how to implement common data operations for the KendoReact Data Grid with an ASP.NET Core backend. The project focuses on how data operations like paging, sorting, filtering, and grouping are triggered on the client and can be handled on the sever-side of things. The ultimate goal is to showcase a full-stack project and demystify the client and server-side interactions with an advanced UI component like the data grid.
Обновлено 2023-08-14 10:25:31 +03:00
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
Обновлено 2023-06-12 21:21:58 +03:00
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
Обновлено 2022-03-27 08:21:56 +03:00