nebeyoumusie Goto Github PK

followers: 59.0 following: 103.0 repos: 76.0 gists: 0.0

Name: Nebeyou Musie

Type: User

Bio: Data Science || Machine Learning || Deep Learning || NLP || LLM || Gen AI || Python || Chatbot || Full Stack Web Developer

Location: Addis Ababa, Ethiopia

Blog: https://nebeyou-musie.vercel.app/

Hello there 👋, I'm Nebeyou Musie

A passionate developer, proficient in Machine Learning and Web Development

💬 You can ask me about Data Science, Machine Learning, Deep Learning, NLP, LLM, GenAI and Web Development

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Nebeyou Musie's Projects

advanced-rag-qa-chatbot

In this project I have built an advanced RAG Q&A chatbot with chain and retrievers using Langchain

annotated-transformer

An annotated implementation of the Transformer paper.

anomaly-detection-in-transactions

backend-starter-template

A backend starter template for a MERN Stack application

bank-landing-page

A Landing website page for a bank named HooBank.

bank-turnover-prediction-using-ann

Bank Turnover Prediction Using ANN

calculator

A simple calculator made using HTML, CSS and JavaScript

customer-churn-prediction-using-ann

Customer Churn Prediction Using Artificial Neural Network (ANN)

data-science

This repository contains most of the python codes

email-subscription

An email subscription page made using HTML, CSS and JavaScript

end-to-end-advanced-rag-project-using-open-source-llm-models-and-groq-inferencing

In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.

end-to-end-gen-ai-powered-app

In this project I have built an end to end langchain project using hugging face open source llm models such as Mistral and also open source embedding models.

end-to-end-rag-project-using-objectbox-and-langchain

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.

end-to-end-youtube-video-transcribe-summarizer-llm-app

In this project I have built an end to end YouTube video summarizer LLM app with Google Gemini Pro and Streamlit.

facebook-ai-similarity-search-faiss

Facebook AI Similarity Search (Faiss) is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.