gsingers / search_engineering
Public repository for the Search Engineering course taught by Grant Ingersoll and Dave Anderson. Available at https://corise.com/course/search-engineering?utm_source=daniel.
☆17Updated last year
Alternatives and similar repositories for search_engineering:
Users that are interested in search_engineering are comparing it to the libraries listed below
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆16Updated last year
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Slides and recordings of talks hosted by our community☆19Updated 6 months ago
- Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…☆53Updated last year
- Visualize multi-model embedding spaces. The first goal is to quickly get a lay of the land of any embedding space. Then be able to scroll…☆27Updated 8 months ago
- ☆18Updated 3 years ago
- Basic guidance on how to contribute to Papers with Code☆20Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last week
- Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects☆21Updated last year
- ☆26Updated last year
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆41Updated last year
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously☆20Updated 11 months ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 2 years ago
- Session on MLOps☆30Updated 2 years ago
- Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with…☆22Updated 5 months ago
- ☆13Updated this week
- Experimentation on google's gemma model☆16Updated 10 months ago
- Kedro starter templates using Scikit-learn and optionally MLflow☆9Updated last year
- Running load tests on a FastAPI application using Locust☆12Updated 2 months ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 3 years ago
- ☆64Updated this week
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆20Updated 3 years ago
- Public repository for sharing talk materials☆13Updated 5 months ago
- Orchestrate Modal and OpenAI workloads with Dagster☆12Updated last month
- Framework for building and maintaining self-updating prompts for LLMs☆59Updated 7 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago