instill-ai / deprecated-coreLinks
๐ฎ Instill Core contains components for supporting Instill VDP and Instill Model
โ12Updated last year
Alternatives and similar repositories for deprecated-core
Users that are interested in deprecated-core are comparing it to the libraries listed below
Sorting:
- ๐ All about our lovely community's feedback, feature request, bug report, whim, etc.โ19Updated last year
- โ๏ธ Instill Model contains components for AI model orchestrationโ19Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.โ256Updated last year
- Flyte Documentation ๐โ86Updated 10 months ago
- Prepare requirements and deploy Flyte using Helmโ82Updated 10 months ago
- Chronon is a data platform for serving for AI/ML applications.โ967Updated last week
- โ๏ธ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesโ294Updated last year
- Joining the modern data stack with the modern ML stackโ201Updated 2 years ago
- Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.โ306Updated this week
- UnionML: the easiest way to build and deploy machine learning microservicesโ336Updated 2 years ago
- A containerized approach using Apache Kafka, Spark, Cassandra, Hive, Jupyter, and Docker-compose.โ14Updated 4 years ago
- โ312Updated last week
- ๐ฎ Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect ofโฆโ2,307Updated last week
- Code review for data in dbtโ493Updated last year
- The data-validation toolkit for enhanced dbt (data build tool) PR reviewโ437Updated this week
- ๐ Drop-in tools that give AI agents reliable, permission-aware access to external systems.โ102Updated this week
- A set of IaC artifacts to automatically configure the infrastructure resources needed by a Flyte deploymentโ32Updated 11 months ago
- Deploy production-grade Metaflow cloud infrastructure on AWSโ70Updated last month
- The platform that powers Airbyte. Please file issues in https://github.com/airbytehq/airbyteโ292Updated this week
- An open-source ML pipeline development platformโ996Updated last year
- A workshop with several modules to help learn Feast, an open-source feature storeโ97Updated 2 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...โ394Updated 3 years ago
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful โฆโ144Updated last year
- An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomerโ280Updated 6 months ago
- Fine-tuning LLMs on Flyte and Union Cloudโ30Updated 2 years ago
- Contribute and collaborate on educational content for the Airbyte Community.โ45Updated 3 months ago
- Metrics Observability & Troubleshootingโ329Updated last year
- ๐ฌ modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud stoโฆโ400Updated last year
- Fast model deployment on any cloud ๐โ176Updated last year
- A lightweight logger for machine learning teams to log images and predictions in production.โ155Updated 2 years ago