jacopotagliabue / recs-at-resonable-scaleLinks
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
☆240Updated 2 years ago
Alternatives and similar repositories for recs-at-resonable-scale
Users that are interested in recs-at-resonable-scale are comparing it to the libraries listed below
Sorting:
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Software Architecture for ML engineers☆413Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆870Updated 2 years ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆289Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆145Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 4 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆94Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆72Updated 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…☆396Updated 8 months ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆206Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆92Updated 3 months ago
- ☆104Updated last year
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆184Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆393Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year