Alternatives and similar repositories for Fastapi-docker-kubernetes-streamlit

Users that are interested in Fastapi-docker-kubernetes-streamlit are comparing it to the libraries listed below

• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• ming0070913 / example-ml-project
  Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
  ☆105Updated 3 years ago
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 4 years ago
• sayakpaul / ml-deployment-k8s-fastapi
  This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
  ☆218Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 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
• rafiqhasan / AI_DL_ML_Repo
  Deep Learning Projects on TensorFlow and Keras
  ☆20Updated last year
• AntonisCSt / Mlops_project_semicon
  A project from the ml_ops Zoomcamp (DataTalks) using Semiconductor data
  ☆22Updated 2 years ago
• zademn / mnist-mlops-learning
  In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
  ☆107Updated 3 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆111Updated 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
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• aniketmaurya / tensorflow-fastapi-starter-pack
  tensorflow web app starter pack
  ☆72Updated 4 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last year
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆87Updated 2 years ago
• c17hawke / mlops_main
  mlops main demo
  ☆15Updated 2 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• FernandoLpz / Kubeflow_Pipelines
  This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.
  ☆42Updated last year
• robmarkcole / object-detection-app
  Simple object detection app with streamlit
  ☆113Updated 3 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• TripathiAshutosh / FastAPI
  Microservice creation and Machine Learning Model Deployment using FastAPI
  ☆116Updated 3 years ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• liartem / mlops-zoomcamp
  ☆15Updated 2 years ago
• snehankekre / Deploy-Deep-Learning-Models-TF-Serving-Docker
  Official repository of "TensorFlow Serving with Docker for Model Deployment" Coursera Project
  ☆24Updated 5 years ago
• srivatsan88 / keras-ocr
  A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
  ☆11Updated 5 years ago
• dipanjanS / convolutional_neural_networks_essentials
  Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
  ☆45Updated 4 years ago