Edoardo Abati's starred repositories
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
text-generation-inference
Large Language Model Text Generation Inference
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
pre-commit-hooks
Some out-of-the-box hooks for pre-commit
llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
2022_ML_EES
Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)
sentinel-tree-cover
Image segmentations of trees outside forest
pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.