#
Lists (2)
Starred repositories
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...
Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)aut…
Kubernetes IN Docker - local clusters for testing Kubernetes
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Get your documents ready for gen AI
🐶 Kubernetes CLI To Manage Your Clusters In Style!
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Generate React and Tailwind components using AI
Members of the Knowledge Graphs Interest Group at the Alan Turing Institute
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
Pythonic Programming Framework to orchestrate jobs in Databricks Workflow
Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.
extracting "structured" information that is embedded in natural language text on the web using iterative set expansion, spanBERT, and openAI API
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Exported from: 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼 Link : https://github.com/microsoft/azurechatgpt
A guidance language for controlling large language models.
Open-source and strong foundation image recognition models.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Code samples and extended documentation to support the guidance provided in the Microsoft Cloud Adoption Framework
code and resources used in the Going Meta sessions
Yet another easy-to-use python3 parallel library for humans.
Fully automated homelab from empty disk to running services with a single command.
a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.