determined-ai / works-with-determinedLinks
This repository contains example integrations between Determined and other ML products
☆48Updated last year
Alternatives and similar repositories for works-with-determined
Users that are interested in works-with-determined are comparing it to the libraries listed below
Sorting:
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- MLOps Python Library☆119Updated 3 years ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- A top-like tool for monitoring GPUs in a cluster☆85Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- yogadl, the flexible data layer☆74Updated 2 years ago
- Determined AI public environments☆50Updated last year
- Kubeflow’s superfood for Data Scientists☆640Updated this week
- A curated list of examples that use Pachyderm to accomplish various tasks.☆64Updated last year
- Distributed XGBoost on Ray☆149Updated last year
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆136Updated 3 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆162Updated last year
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆389Updated this week
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- Introduction to Ray Core Design Patterns and APIs.☆71Updated last year
- ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution☆277Updated last month
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Tools for MLflow☆38Updated last year
- The Triton backend for the PyTorch TorchScript models.☆159Updated last week
- Repository for assets related to Metadata.☆124Updated 3 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆174Updated 3 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆658Updated 5 months ago
- Plugin for deploying MLflow models to TorchServe☆110Updated 2 years ago
- Incubating project for xgboost operator☆77Updated 3 years ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆211Updated 5 months ago
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- ClearML - Model-Serving Orchestration and Repository Solution☆156Updated last month