GoogleCloudPlatform / nvidia-merlin-on-vertex-ai
This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Vertex AI.
☆34Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for nvidia-merlin-on-vertex-ai
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 3 years ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆90Updated 5 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago
- Code labs for Vertex AI☆46Updated 3 years ago
- ☆101Updated last month
- Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …☆125Updated 5 months ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆262Updated 6 months ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 2 years ago
- GitHub Action That Retrieves Model Runs From Weights & Biases☆60Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆230Updated last year
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆138Updated 2 weeks ago
- Distributed skorch on Ray Train☆57Updated 2 years ago
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆71Updated last year
- Enterprise Solution for Text Classification (using BERT)☆10Updated last year
- ☆37Updated last year
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated last year
- Rax is a Learning-to-Rank library written in JAX.☆319Updated 3 weeks ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆51Updated last year
- https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html☆28Updated 2 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 2 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆49Updated 2 years ago
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated 2 months ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆66Updated last year
- MLOps Python Library☆116Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 2 years ago
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆65Updated 3 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 4 years ago
- ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate th…☆49Updated 3 years ago
- This is an SDK for Google Cloud Explainable AI service. Explainable AI SDK helps users build explanation metadata for their models and vi…☆25Updated 2 years ago