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appliedAI Institute for Europe gGmbH
- Germany
- @AdrianoKF
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A declarative, simple, fast, and fun package for building command line tools in Go
Supercharge Your LLM Application Evaluations 🚀
Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
Render images in the terminal with Textual and rich
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
FlashSpace is a blazingly fast virtual workspace manager for macOS ⚡
A Python package to assess and improve fairness of machine learning models.
Implementing the 4 agentic patterns from scratch
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
This guide brings together EU AI Act requirements with practical engineering solutions.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
A workshop with several modules to help learn Feast, an open-source feature store
An extremely fast Python type checker and language server, written in Rust.
Share a single keyboard and mouse between multiple computers.
Lime: Explaining the predictions of any machine learning classifier
😎 A curated list of awesome MLOps tools
Repository for open inference protocol specification
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Open, Multi-modal Catalog for Data & AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
A high-throughput and memory-efficient inference and serving engine for LLMs