SeldonIO / mlgraphLinks
Machine Learning Inference Graph Spec
☆21Updated 6 years ago
Alternatives and similar repositories for mlgraph
Users that are interested in mlgraph are comparing it to the libraries listed below
Sorting:
- ML-Powered Developer Tools, using Kubeflow☆55Updated 4 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Seldon Core Operator for Kubernetes☆13Updated 6 years ago
- A Scalable Auto-ML System☆55Updated 3 years ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- Incubating project for xgboost operator☆77Updated 4 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- Repository for assets related to Metadata.☆123Updated 4 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated 2 months ago
- Test infrastructure and tooling for Kubeflow.☆62Updated 11 months ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- A top-like tool for monitoring GPUs in a cluster☆84Updated last year
- ☆37Updated 6 years ago
- ☆59Updated 4 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated 2 years ago
- Proof of concept on how to use TensorFlow for prediction tasks in a multiprocess setting.☆18Updated 6 years ago
- Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing …☆142Updated last year
- ☆39Updated 2 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 5 years ago
- Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …☆56Updated 3 years ago
- Code for tutorials and examples☆67Updated 2 years ago
- JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment☆18Updated 5 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- FlorDB 🌻☆158Updated 3 months ago
- MLOps Python Library☆121Updated 3 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 4 years ago
- A quick start project for polyaxon☆29Updated last year