- Santiago, Chile
Stars
Collection of handy online tools for developers, with great UX.
An extremely fast Python package and project manager, written in Rust.
Portainer templates for selfhosted services
Open-source toolkit to build an AI copilot for SaaS products
Template for making your own OS image using BlueBuild
NiHaiden / aurora
Forked from ublue-os/bluefinThe ultimate developer workstation, based on Bluefin with KDE, now incorporated into Bluefin.
The next generation Linux workstation, designed for reliability, performance, and sustainability.
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too 😅
Feasible cost konfigurable NAT: An AWS NAT Instance AMI
Adding guardrails to large language models.
🦜🔗 Build context-aware reasoning applications
CLI based natural language queries on local or remote data
Typer, build great CLIs. Easy to code. Based on Python type hints.
Kubernetes powered PaaS that runs in your own cloud.
Enterprise Kubernetes management, accelerated. 🚀
Data validation using Python type hints
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Real-time microphone noise suppression on Linux.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
The Open Source Feature Store for Machine Learning
Speeding up Google's Temporal Fusion Transformer
Open source platform for the machine learning lifecycle
A thin, practical wrapper around terminal capabilities in Python
Production infrastructure for machine learning at scale
How everyone can get the Lazy Couch Experience [abandoned]