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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Gradio ⭐ 25,823

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Orchest ⭐ 3,876

Build data pipelines, the easy way 🛠️

Budgetml ⭐ 1,290

Deploy a ML inference service on a budget in less than 10 lines of code.

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

Runhouse ⭐ 667

Create and share production-quality backend apps and services anywhere. Unobtrusive, debuggable, PyTorch-like APIs for your world of infra.

Artificial Intelligence Projects ⭐ 280

Collection of Artificial Intelligence projects.

Ml Capsule ⭐ 207

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

End To End Machine Learning Projects ⭐ 75

This repository contains Machine Learning projects that involve the steps starting from data collection to deployment

Oreilly Ai K8s Tutorial ⭐ 58

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Hypergol ⭐ 54

Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, standardised structure for data and ML and parallel processing out-of-the-box.

Sak Kubeflow ⭐ 36

🚀 Deploy Kubeflow on AWS EKS with Terraform 🤖

Ml Workflow ⭐ 35

A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.

Primrose ⭐ 33

Primrose modeling framework for simple production models

Aml Deploy ⭐ 28

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

Random Dose Of Knowledge ⭐ 28

Using the latest Software Engineering practices to create a modern and simple app.

Debianized Jupyterhub ⭐ 27

📦 ♃ Debian packaging of JupyterHub, a multi-user server for Jupyter notebooks

Whatsapp Chat Analyzer ⭐ 26

WhatsApp Chat Analyzer is a WebApp and it can be used by anyone to analyze their chat. 😄

Data Science End To End ⭐ 22

A Respository to get you job ready as a Data Scientist

Mldevops ⭐ 20

ML DevOps using GitHub Actions and Azure Machine Learning

Code and data for myeu.uk - find out what the EU has done for your area

Customer Churn Prediction ⭐ 17

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode.

Datascience ⭐ 16

Build and Deploy Machine Learning Models on the Cloud

Productionize Datascience ⭐ 12

Azuredsvm ⭐ 11

AzureDSVM is an R package that offers convenient harness of Azure DSVM, remote execution of scalable and elastic data science work, and monitoring of on-demand resource consumption.

Serverless Python Workflow With Aws Lambda ⭐ 11

A tutorial to setup and deploy a simple Serverless Python workflow with REST API endpoints in AWS Lambda.

Regression_project_course ⭐ 9

This Repo collects the Material of Regression Project at Udemy platform by Eng/ Mohammed Agoor

Run any code on the cloud, instantly.

Flask Openshift Example ⭐ 7

Simple Flask example using Docker to deploy on OpenShift 3.

Aws Glue Monorepo Style ⭐ 7

Example of AWS Glue Jobs and workflow deployment with terraform in monorepo style. Code here supports the miniseries of articles about AWS Glue and python.

Machinealgobox ⭐ 6

Explore common ML algorithms, from scratch implementations to real-world use cases, Each algorithm is accompanied by clear explanations, code implementations, and real-world use cases, enabling you to grasp their underlying principles and apply them to different problem domains.

Credit Card Fraud Detection ⭐ 6

Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.

Metaflow On Kubernetes Docs ⭐ 6

Documentation For Running Metaflow on Kubernetes

Bodywork Scikit Fastapi Project ⭐ 5

Deploy Scikit-Learn models on Kubernetes, using FastAPI with Bodywork.

TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.

Data Science Api Framework ⭐ 5

A simple framework to test and deploy your Data Science API

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