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mlir

"Multi-Level Intermediate Representation" Compiler Infrastructure

mlir-extensions

A staging ground for MLIR dialects and tools.

mlir-hlo

mlir-hs

Haskell bindings for MLIR

mlir-npcomp

npcomp - An aspirational MLIR based numpy compiler

mlir-www

mlkit

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

mlkit-android

mlkit-arcore

mlkit-arkit

mlkit-custom-image-classifier

Easily collect data and train image classification models.

mlkit-ios

mlkit-material-android

ML Kit Showcase App with Material Design

mlkit-material-ios

These apps demonstrate how to build an end-to-end user experience with Google ML Kit APIs and following the new Material for ML design guidelines.

mlkittest

Source code related to a blog post about ML Kit

mllp

The MLLP (Short for "Minimal Lower Layer Protocol") adapter is a component that runs on GKE (https://cloud.google.com/kubernetes-engine/), receives HL7v2 messages via MLLP/TCP, and forwards messages received to Cloud HL7v2 API.

mlmetrics

Common metrics for evaluation of machine learning models

mloader

A cross platform Haxe library for loading resources with utilities for queueing and caching requests. Supports AVM2, JavaScript, Neko and C++.

mlockexec

tool that keeps locked files into memory while running another process

mlontheedge

Examples of ML on the Edge using ELL

mlopenhack-computervision

Resource list of key references from ML OpenHack on Computer Vision

mlops-enterprise-template

This repo demonstrates GitHub actions to build and deploy your ML application

mlops-infra-default

Azure MLOps default infrastructure.

mlops-on-gcp

mlops-profile

Kubeflow-based MLOps profile for EKSctl and Firekube

mlops-project-classical-ml

Azure MLOps classical ML project.

mlops-tdsp-template

Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.

mlops-templates

mlops-v2

Azure MLOps (v2) solution accelerators.

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI