anyscale / cross-modal-search-ecommerce-projectLinks
A project between Anyscale and deepsense.ai implementing a cross-modal search application for e-commerce
☆13Updated last year
Alternatives and similar repositories for cross-modal-search-ecommerce-project
Users that are interested in cross-modal-search-ecommerce-project are comparing it to the libraries listed below
Sorting:
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- ☆27Updated 2 years ago
- Distributed XGBoost on Ray☆149Updated last year
- The fastai book, 2nd edition (in progress)☆56Updated last year
- Drift detection module for machine learning pipelines.☆25Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- Get started DVC project☆60Updated last year
- ☆99Updated 2 months ago
- run dreambooth training on modal☆22Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Train fastai models faster (and other useful tools)☆71Updated 3 months ago
- Feste is a free and open-source framework allowing scalable composition of NLP tasks using a graph execution model that is optimized and …☆42Updated 2 years ago
- A collection of examples demonstrating how to use dstack☆26Updated last year
- ByteHub: making feature stores simple☆61Updated 4 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆240Updated 2 years ago
- Execute code snippets in markdown files.☆27Updated 8 months ago
- ☆87Updated last year
- Resources for the FC 2024 LLM workshop☆17Updated last year
- aim-mlflow integration☆221Updated 2 years ago
- ☆170Updated last year
- ☆19Updated this week
- ☆27Updated 3 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆20Updated 2 years ago
- Repo for Hamel's Professional Website☆76Updated last week
- Get packages onto your conda channel faster☆26Updated 9 months ago
- LightGBM on Ray☆51Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago