107 Open source projects that are alternatives of or similar to aml-deploy

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

Coarse-grained lineage and tracing for machine learning pipelines.

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

A declarative KubeFlow Management Tool

Public reusable components for Polyaxon

Black-box optimization library

Kraken CI is a continuous integration and testing system.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

MLOps Case Study

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Microsoft buduje i tworzy Polską Dolinę Cyfrową. W ramach tej inicjatywy podjęliśmy się wyzwania zbudowania chmurowych kompetencji wśród 150tys osób w Polsce. Jednym z elementów tej inicjatywy jest dedykowany kurs na studiach inzynierskich i magisterskich na Politechnice Warszawskiej poświęcony chmurze obliczeniowej oraz sztucznej inteligencji.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Deployment template for a continuous training pipeline.

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

BentoML Example Projects 🎨

HI-ML toolbox for deep learning for medical imaging and Azure integration

A Collection of GitHub Actions That Facilitate MLOps

Customer registry supporting Know Your Customer (KYC), Customer Identification Program (CIP), and OFAC checks

AML/CTF/KYC/OFAC Search of global watchlist, sanctions, and politically exposed person (PEP)

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

A tool for training models to Vertex on Google Cloud Platform.

Serving PyTorch models with TorchServe 🔥

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Azure Machine Learning Cheat Sheets

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

Evaluate wandb, tensorboard, neptune, mlflow, etc

CartPole game by Reinforcement Learning, a journey from training to inference

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

The PHP SDK for interacting with the Yoti Platform

This repository contains the code for the blogpost: How to Develop a Currency Detection Model using Azure Machine Learning

Projects developed by Domino's R&D team

Machine Learning Operator & Controller for Kubernetes

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

The collaboration workspace for Machine Learning

Slack bot for monitoring your Metaflow flows!

a simplified machine learning container platform that helps teams get started with an automated workflow

🎲 A curated list of MLOps projects, tools and resources

📒 Experiment tracking tool and model registry

JavaScript example illustrating how to use the Maritime Chart Service functionality provided by ArcGIS for Maritime: Server.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Polyaxon Core Client & CLI to streamline MLOps

My EFI folder for Ryzen Hackintosh, as known as Ryzentosh.

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

The Fuzzy Labs guide to the universe of open source MLOps

A set of demo of deploying a Machine Learning Model in production using various methods

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.