Embeddings

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Samples on how to build industry solution leveraging generative AI capabilities on top of SAP BTP and integrated with SAP S/4HANA Cloud.

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

📖Notes and remarks on Machine Learning related papers

Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)

Sentence Transformers API: An OpenAI compatible embedding API server

SunnahGPT is a natural language processing (NLP) project aimed at scraping hadith data from the popular website sunnah.com and applying OpenAI's GPT-3.5 model to generate textual embeddings for each hadith

Github Repository for LSTM-based system generating automated abstract of scientific articles

Implementation of collaborative filtering using fastai and pytorch

Code for the KISZ-BB Workshop series "Working with embeddings"

Example application querying data in different ways

Citation Oracle ✦ — an AI oracle for a PhD literature corpus: neural (bge-m3) semantic search + an interactive citation constellation, plus MIT-licensed Claude Code skills incl. a Gemini Deep Research prompt builder

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

Simple in-memory vector database for text similarity in Node.js

A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learning, AI agents, and local AI tools.

Unsupervised AI candidate ranking system — hybrid rule-based scoring + semantic embeddings over 100K profiles. Built for the Redrob AI challenge (India Runs Hackathon 2025).

Repository for the seminar "Word Embedding Spaces", Master CS and Master AI & Data Science @ Heinrich Heine University Düsseldorf.

Your own API endpoint to perform NLP functions like semantic search, sentence embedding, etc.