Alternatives and similar repositories for Serving-Machine-Learning-Models

Users that are interested in Serving-Machine-Learning-Models are comparing it to the libraries listed below

• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆78Updated 3 years ago
• Ksyula / ML_Engineering
  Machine Learning Engineering Camp 2022
  ☆39Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆111Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last year
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆92Updated 2 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 4 years ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆223Updated 2 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• ocelotconsulting / customer_segmentation
  An end-to-end project on customer segmentation
  ☆21Updated 3 years ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆187Updated last year
• khuyentran1401 / analyze_github_feed
  Create a local dashboard to visualize and filter your GitHub feed
  ☆29Updated 3 years ago
• cwallaceh / sklearn_fastapi_docker
  Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker
  ☆25Updated 3 years ago
• iterative / magnetic-tiles-defect
  Demo Computer Vision Project
  ☆63Updated 2 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 3 years ago
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆274Updated this week
• MatejFrnka / ScalableML-project
  ☆110Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 7 months ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• alvarobartt / tensorflow-serving-streamlit
  TensorFlow Serving + Streamlit!
  ☆24Updated 4 years ago
• thejat / mlops-notebooks
  ☆66Updated 4 months ago
• FourthBrain / FastAPI-for-Machine-Learning-Live-Demo
  This repository contains the files to build your very own AI image generation web application! Outlined are the core components of the F…
  ☆171Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆89Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 years ago
• Arslan-Mehmood1 / Machine-learning-pipeline-deployment-using-Docker-and-FastAPI
  This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of tra…
  ☆25Updated 2 years ago