There are 2 repositories under drift topic.
Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
Open-source live customer chat
Easily add "zoom on hover" functionality to your site's images. Lightweight, no-dependency JavaScript.
MLBox is a powerful Automated Machine Learning python library.
Drift is a self-hostable Gist and paste service. Built with Next.js 13 and React Server Components.
Implement a live chat beacon in your React application without performance regressions.
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
Todo App with Flutter + CleanArchitecture + riverpod + drift!
A GLES2 top-down racer, built on top of libgdx and Box2D.
Take medications on time using a powerful medication reminder app. Made with DDD architecture + Drift + Riverpod + Go Router + Rxdart + Service Locator + Freezed finally with 💙
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Helm plugin that identifies the configuration that has drifted from the Helm chart
[DEPRECATED & UNMAINTAINED] Take events and customer data in and send them to various providers, mostly analytics providers.
Software for LOCO, our autonomous drifting RC car.
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
A better tiling script for Neural-Style
Helpful components for aligning and keeping virtual objects aligned with the physical world.
unsupervised concept drift detection
In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.
Drift detection and reporting for Terraform.
A casual, fun, 3D indie game made with Unity
A cross-platform manga reader built with Flutter.