Alternatives and similar repositories for mlflow-model-monitoring:

Users that are interested in mlflow-model-monitoring are comparing it to the libraries listed below

• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• mlops-labs-team1 / engineering.labs
  The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info
  ☆16Updated 4 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 3 years ago
• fastai / fastpy
  An easy way to start a python programming environment using GitHub Codespaces.
  ☆15Updated 4 years ago
• cortexlabs / nucleus
  Cortex-compatible model server for Python and TensorFlow
  ☆17Updated 2 years ago
• pararawendy / AB-test-analyzer
  Python class to perform AB test analysis
  ☆13Updated 3 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆76Updated last week
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 3 months ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• BoxOfCereal / FastAPI-Fastai2
  Starter template for image recognition server with FastAPI
  ☆24Updated 4 years ago
• sayakpaul / parameter-ensemble-differential-evolution
  Shows how to do parameter ensembling using differential evolution.
  ☆10Updated 3 years ago
• jeremyjordan / model_test
  A proof of concept library for generating and running machine learning model tests
  ☆13Updated 4 years ago
• awesome-panel / awesome-panel-lightning
  ☆21Updated 2 years ago
• NVIDIA / nvidia-gcp-samples
  NVIDIA GPU Accelerated Application Samples in Google Cloud Platform
  ☆19Updated 2 weeks ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• okld / streamlit-disqus
  A streamlit component to embed Disqus in your applications.
  ☆10Updated 3 years ago
• deep-diver / complete-mlops-system-workflow
  ☆18Updated 2 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• roboflow / deploy-models-with-grpc-pytorch-asyncio
  Article about deploying machine learning models using grpc, pytorch and asyncio
  ☆28Updated 2 years ago
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 3 years ago
• fastai / tinykernel
  A minimal Python kernel so you can run Python in your Python
  ☆39Updated 3 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• Vevesta / VevestaX
  2 Lines of code to track ML experiments + EDA + check into Github
  ☆28Updated 2 years ago