gsingers / search_fundamentals_course
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
☆41Updated last year
Alternatives and similar repositories for search_fundamentals_course:
Users that are interested in search_fundamentals_course are comparing it to the libraries listed below
- Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…☆54Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Production Machine Learning Pipeline for Text Classification with fastText☆32Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated 8 months ago
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- This project is created to promote and advocate the use of FOSS machine learning.☆44Updated last week
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 3 years ago
- Build your feature store with macros right within your dbt repository☆38Updated 2 years ago
- The fast.ai data ethics course☆15Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last month
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Data Scientist code test☆19Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 10 months ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 4 months ago
- Operations Research Algorithms☆17Updated 11 months ago
- Deployment of ML models with Serverless APIs (AWS Lambda) and Docker☆24Updated 4 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- Deployment template for a continuous training pipeline.☆22Updated 2 years ago
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 3 years ago
- 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 3 years ago
- Machine Learning Deployment for Kubernetes☆18Updated last year
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 4 years ago
- Fork of https://github.com/o19s/elasticsearch-learning-to-rank to work with OpenSearch☆16Updated 2 years ago