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Artificial Intelligence Infrastructure-as-Code Generator.
⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
Fetch metrics in the Prometheus metrics inside or outside Kubernetes and send them to the New Relic Metrics platform.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Brings kOps into terraform in a fully managed way
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
This is a place for various problem detectors running on the Kubernetes nodes.
Command-line tools for working with Architecture Decision Records
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
DuckDB is an analytical in-process SQL database management system
A free and self-hosted PaaS for Kubernetes
A guidance language for controlling large language models.
Open-source vector similarity search for Postgres
Display Override PropertyList File Parser and Generator with HiDPI Support For Scaled Resolutions on macOS
🦜🔗 Build context-aware reasoning applications
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it …