kubeflow / code-intelligenceLinks
ML-Powered Developer Tools, using Kubeflow
☆55Updated 3 years ago
Alternatives and similar repositories for code-intelligence
Users that are interested in code-intelligence are comparing it to the libraries listed below
Sorting:
- Machine Learning Inference Graph Spec☆21Updated 6 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing …☆131Updated last year
- A quick start project for polyaxon☆29Updated last year
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆93Updated last year
- ☆59Updated 3 years ago
- Machine learning utilities for model conversion, serialization, loading etc☆27Updated 2 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆174Updated 3 years ago
- Code for tutorials and examples☆67Updated 2 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- ☆26Updated 6 years ago
- A deep ranking personalization framework☆134Updated 2 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated last year
- Repository for assets related to Metadata.☆124Updated 3 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆44Updated 2 years ago
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- Repository for batch predict☆17Updated 3 years ago
- Projects developed by Domino's R&D team☆78Updated 3 years ago
- JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment☆18Updated 5 years ago
- GNES Hub ship AI/ML models as Docker containers and use Docker containers as plugins.☆34Updated 5 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated 10 months ago
- ☆28Updated 5 years ago
- ☆37Updated 6 years ago
- Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018☆65Updated 6 years ago
- RedisAI showcase☆56Updated last year
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- ☆37Updated 2 years ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Experiment tracking for machine and deep learning projects☆128Updated last year
- A JSON-based schema for storing declarative descriptions of machine learning experiments☆45Updated 8 years ago