jacopotagliabue / post-modern-stack
Joining the modern data stack with the modern ML stack
☆194Updated last year
Alternatives and similar repositories for post-modern-stack:
Users that are interested in post-modern-stack are comparing it to the libraries listed below
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆234Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 3 months ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆853Updated last year
- Example repo to kickstart integration with mlflow pipelines.☆74Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆379Updated this week
- Behavioral "black-box" testing for recommender systems☆464Updated last year
- A workshop with several modules to help learn Feast, an open-source feature store☆84Updated last week
- Code samples for the Effective Data Science Infrastructure book☆113Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆177Updated 6 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆258Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 4 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆452Updated 6 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 9 months ago
- ☆12Updated last year
- Software Architecture for ML engineers☆393Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆208Updated last week
- Deploy production-grade Metaflow cloud infrastructure on AWS☆60Updated 2 weeks ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆66Updated last year
- Concept drift monitoring for HA model servers.☆101Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated 8 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆389Updated 2 years ago
- MLOpsCommunity's reading group for _Practical MLOps_ by Noah Gift and Alfredo Deza☆48Updated 2 years ago
- Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/d…☆30Updated 5 months ago
- Kedro Plugin to support running workflows on GCP Vertex AI Pipelines☆35Updated last week
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆47Updated 3 years ago
- ☆30Updated last year
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year