ray-project / mlflow-ray-serveLinks
MLFlow Deployment Plugin for Ray Serve
☆46Updated 3 years ago
Alternatives and similar repositories for mlflow-ray-serve
Users that are interested in mlflow-ray-serve are comparing it to the libraries listed below
Sorting:
- MLOps Python Library☆120Updated 3 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Distributed XGBoost on Ray☆152Updated last year
- Machine Learning Inference Graph Spec☆21Updated 6 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Simple dependency injection framework for Python☆21Updated last year
- Sentence Embedding as a Service☆15Updated 4 months ago
- Repository for open inference protocol specification☆59Updated 6 months ago
- A top-like tool for monitoring GPUs in a cluster☆85Updated last year
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- real-time data + ML pipeline☆53Updated last month
- ClearML - Model-Serving Orchestration and Repository Solution☆157Updated this week
- Plugin for deploying MLflow models to TorchServe☆110Updated 2 years ago
- FIL backend for the Triton Inference Server☆83Updated this week
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 5 years ago
- Kubeflow example of machine learning/model serving☆37Updated 5 years ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 4 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Cortex-compatible model server for Python and TensorFlow☆17Updated 2 years ago
- Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)☆28Updated 2 years ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated 2 years ago
- Flyte Documentation 📖☆84Updated 7 months ago
- BentoML Example Projects 🎨☆141Updated 10 months ago
- Distributed Model Serving Framework☆178Updated last month
- ☆42Updated 2 weeks ago
- Introduction to Ray Core Design Patterns and APIs.☆74Updated last year
- Unified storage framework for the entire machine learning lifecycle☆155Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …☆145Updated last year