GoogleCloudPlatform / nvidia-merlin-on-vertex-aiLinks
This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Vertex AI.
☆34Updated 3 years ago
Alternatives and similar repositories for nvidia-merlin-on-vertex-ai
Users that are interested in nvidia-merlin-on-vertex-ai are comparing it to the libraries listed below
Sorting:
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 4 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆143Updated 11 months ago
- Code labs for Vertex AI☆46Updated 4 years ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆290Updated last year
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆240Updated 2 years ago
- Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …☆128Updated last year
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆94Updated last year
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆171Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Rax is a Learning-to-Rank library written in JAX.☆333Updated last month
- ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate th…☆50Updated 4 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- ☆104Updated last year
- A toolkit that streamlines and automates the generation of model cards☆438Updated 2 years ago
- Small Google Cloud Platform examples and code snippets.☆155Updated 2 years ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆95Updated last year
- Governance of the Keras API.☆144Updated 2 years ago
- MLOps Python Library☆120Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI☆402Updated last year
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆356Updated 2 months ago
- HiPlot fetcher for experiments logged with MLflow☆14Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Utilities for passing TensorFlow-related metadata between tools☆110Updated 2 months ago
- A deep ranking personalization framework☆133Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆145Updated last year
- The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …☆381Updated 3 weeks ago