Alternatives and similar repositories for functions

Users that are interested in functions are comparing it to the libraries listed below

• mlrun / demos
  End to end MLRun demos
  ☆92Updated 3 weeks ago
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆50Updated 2 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 5 years ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆51Updated 4 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆147Updated last year
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 2 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆69Updated 3 weeks ago
• mshtelma / databricks-llm-fine-tuning
  ☆16Updated last year
• PipelineAI / katacoda-notebooks
  O'Reilly Katacoda
  ☆56Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆86Updated 2 years ago
• axsaucedo / seldon_experiments
  ☆16Updated 4 years ago
• feast-dev / feast-aws-credit-scoring-tutorial
  Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model
  ☆63Updated 3 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated last week
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated 10 months ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆19Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆141Updated 7 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 4 months ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆38Updated 4 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• bentoml / gallery
  BentoML Example Projects 🎨
  ☆138Updated 4 months ago