jacopotagliabue / FREE_7773
Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
☆96Updated 2 years ago
Alternatives and similar repositories for FREE_7773:
Users that are interested in FREE_7773 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 PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆194Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆55Updated 2 years ago
- ☆101Updated 3 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆80Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 9 months ago
- Interview Questions and Answers for Machine Learning Engineer role☆118Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆177Updated 6 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆207Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆113Updated last year
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆70Updated 9 months ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- Multiple ways to model user preference in recommender systems☆15Updated 8 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆258Updated 2 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆103Updated 8 months ago
- A comprehensive reference for all topics related to building and maintaining microservices☆67Updated 2 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last week
- 📚 Curated list of machine learning engineering blogs.☆35Updated 2 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- Behavioral "black-box" testing for recommender systems☆464Updated last year
- Official Repository for EvalRS @ KDD 2023: a Rounded Evaluation of Recommender Systems☆30Updated 11 months ago
- In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.☆22Updated 3 years ago
- Software Architecture for ML engineers☆393Updated 2 years ago
- Course for Interpreting ML Models☆52Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆85Updated 2 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated last year