gsingers / search_with_machine_learning_courseLinks
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
☆57Updated 2 years ago
Alternatives and similar repositories for search_with_machine_learning_course
Users that are interested in search_with_machine_learning_course are comparing it to the libraries listed below
Sorting:
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆45Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Graph databases, Knowledge Graphs, SPARQ☆80Updated 4 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆17Updated 3 years ago
- ☆105Updated 3 weeks ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆71Updated 3 months ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆150Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- A comprehensive reference for all topics related to building and maintaining microservices☆67Updated 2 years ago
- ☆57Updated 3 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- ☆104Updated last year
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- Extra product metadata for the Amazon ESCI dataset☆51Updated 2 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- The codebase for the book "AI-Powered Search" (Manning Publications, 2025)☆342Updated this week
- Production Machine Learning Pipeline for Text Classification with fastText☆33Updated 4 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆145Updated last year
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 4 years ago
- Slides and notebook for the workshop on building a search system☆23Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago