🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.

Knowledge graph from unstructured text

Practical works and homeworks on the subject "Cloud technologies and the use of Microsoft Azure in application development" (25.04.2023 - 08.06.2023) at IT STEP Academy in Kryvyi Rih.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

A platform accelerating delivery of secure, trustworthy enterprise copilots.

An Open Source Machine Learning Framework for Everyone

An Engine-Agnostic Deep Learning Framework in Java

A data-centric AI Platform for Building & Using AI

An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

Okanagan Marine Design's first entry to the RoboSub competition, powered by ROS2, Sparese Voxel Grids, YoloV8, and PyTrees

Device Management Framework

🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

Open standard for machine learning interoperability

Open source AI platform for rapid development of advanced AI and AGI pipelines.

The platform for customizing AI from enterprise data

This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale

Classification of MNIST handwritten digit dataset using a CNN.

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud