flyteorg / flytesnacksLinks
Flyte Documentation π
β84Updated 9 months ago
Alternatives and similar repositories for flytesnacks
Users that are interested in flytesnacks are comparing it to the libraries listed below
Sorting:
- Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.β302Updated this week
- Machine Learning Projects with Flytekitβ36Updated 2 years ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ336Updated 2 years ago
- Prepare requirements and deploy Flyte using Helmβ80Updated 9 months ago
- Ray-based Apache Beam runnerβ42Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ56Updated 6 months ago
- A set of IaC artifacts to automatically configure the infrastructure resources needed by a Flyte deploymentβ32Updated 10 months ago
- βοΈ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.β45Updated 10 months ago
- real-time data + ML pipelineβ53Updated 3 weeks ago
- CookieCutter template for getting started with Flyte python projectsβ21Updated 9 months ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.β86Updated last year
- The user interface for Flyteβ43Updated 5 months ago
- Delta reader for the Ray open-source toolkit for building ML applicationsβ45Updated last year
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful β¦β145Updated last year
- Ray provider for Apache Airflowβ47Updated last year
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documenβ¦β18Updated 2 years ago
- MLOps Python Libraryβ120Updated 3 years ago
- Projects developed by Domino's R&D teamβ77Updated 3 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.β35Updated 3 years ago
- ByteHub: making feature stores simpleβ61Updated 4 years ago
- β28Updated 2 months 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 tβ¦β25Updated 4 years ago
- Distributed XGBoost on Rayβ152Updated last year
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β81Updated 3 years ago
- β59Updated 2 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withouβ¦β114Updated 2 months ago
- Code examples showing flow deployment to various types of infrastructureβ110Updated 3 years ago
- End to End example integrating MLFlow and Seldon Coreβ51Updated 5 years ago
- Javascript sdk for Flyteβ23Updated 2 years ago
- Dask integration for Snowflakeβ30Updated 5 months ago