jacopotagliabue / post-modern-stackLinks
Joining the modern data stack with the modern ML stack
☆201Updated 2 years ago
Alternatives and similar repositories for post-modern-stack
Users that are interested in post-modern-stack are comparing it to the libraries listed below
Sorting:
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆256Updated last year
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆400Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆874Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆476Updated 8 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 4 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 3 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆97Updated 2 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆471Updated 3 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆229Updated 2 weeks ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 7 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated last year
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆206Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆234Updated last year
- A library to find and visualise the most interesting slices in multidimensional data☆111Updated 10 months ago
- Software Architecture for ML engineers☆417Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆74Updated 2 weeks ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 8 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- Template repo for kickstarting recipes for regression use case☆55Updated last year