gsingers / search_fundamentals_courseLinks
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
☆46Updated 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
Sorting:
- Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…☆58Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 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
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- real-time data + ML pipeline☆54Updated this week
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆70Updated 2 months ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- Record matching and entity resolution at scale in Spark☆35Updated last year
- Production Machine Learning Pipeline for Text Classification with fastText☆33Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated 2 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- The fast.ai data ethics course☆17Updated 2 years ago
- Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.☆26Updated 4 years ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 3 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 2 years ago
- ☆18Updated 3 years ago
- Operations Research Algorithms☆18Updated last year
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆20Updated 4 years ago
- ☄️ Parallel and distributed training with spaCy and Ray☆56Updated 2 years ago
- A comprehensive tool for linguistic analysis of communities☆49Updated 4 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago