131 Open source projects that are alternatives of or similar to domino-research

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

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.

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

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

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.

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Evaluate wandb, tensorboard, neptune, mlflow, etc

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

Public reusable components for Polyaxon

Hands-on demonstrations for data scientists exploring SageMaker

Build and deploy a serverless data pipeline on AWS with no effort.

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Machine Learning Pipelines for Kubeflow

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

MLOps workshop with Amazon SageMaker

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Label Studio is a multi-type data labeling and annotation tool with standardized output format

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

🚀 Build and manage real-life data science projects with ease!

A Python framework for creating reproducible, maintainable and modular data science code.

Slack bot for monitoring your Metaflow flows!

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Model Serving Made Easy

🎲 A curated list of MLOps projects, tools and resources

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Feature Store for Machine Learning

Managed Machine Learning Systems and Internet of Things Live Lesson

Learn how to responsibly deliver value with ML.

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

A curated list of references for MLOps

Know How Guide and Hands on Guide for AWS

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Always know what to expect from your data.

A containerized REST API around OpenAI's CLIP model.

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

A Python framework for creating reproducible, maintainable and modular data science code.

Sample code for AWS data service and ML courses on LinkedIn Learning

Beneath is a serverless real-time data platform ⚡️

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

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

Kubeflow pipelines built on top of Tensorflow TFX library

Kubernetes-friendly ML model management, deployment, and serving.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS

DataOps framework for Machine Learning projects.

A library for performing hyperparameter optimization

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Combinator.ml's central repo, documentation and website

Docker images for fastai

Get notified for Instances mistakenly left running across all AWS regions for specific AWS Account

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!