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🌱 I’m currently learning LLMs Agents and Fine Tuning
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👯 I’m looking to collaborate on Open Source Projects
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📫 How to reach me omarelsherif010@gmail.com
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⚡ Fun fact I love skating⛸️ and Chess
🎯
Focusing
I am interested in enhancing open-source projects. I also love building tech solutions for science problems or features based on machine/deep learning.
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Highlights
Pinned Loading
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DevMed22/Revive_My_Memory
DevMed22/Revive_My_Memory PublicMultimodal Clustering, Website, Mobile and Bracelet, to assist in memory treatment
Jupyter Notebook 1
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superduperdb
superduperdb PublicForked from superduper-io/superduper
SuperDuperDB: Build and deploy AI with your datastore!
Python
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pygraft
pygraft PublicForked from nicolas-hbt/pygraft
Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips
Python
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sinaptik-ai/pandas-ai
sinaptik-ai/pandas-ai PublicChat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
314 contributions in the last year
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Activity overview
Contributed to
Omarelsherif010/Chat_With_Your_PDF_Multimodal_RAG_System,
Omarelsherif010/Python_Scraping_Developer_Task,
Omarelsherif010/Python-script---Scraping-oddsportal
and 13 other
repositories
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Contribution activity
February 2025
Created 36 commits in 1 repository
Created 1 repository
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Omarelsherif010/Chat_With_Your_PDF_Multimo...
Python
This contribution was made on Feb 4
Opened 13 pull requests in 1 repository
Omarelsherif010/Chat_With_Your_PDF_Multimodal_RAG_System
13
merged
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Add project images and some updates to docs
This contribution was made on Feb 9
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Update README.md with Architecture image path
This contribution was made on Feb 9
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RAG Architecture and Challenges and agentic rag
This contribution was made on Feb 9
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added basic evaluation and evaluation with ragas
This contribution was made on Feb 9
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table, image, text extraction with llama_parse and embedding to pinecone
This contribution was made on Feb 9
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integrated pinecone instead of chroma
This contribution was made on Feb 6
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added streamlit app where user can enter his query and see answer with sources from the paper
This contribution was made on Feb 6
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added a brief about libraries used and system structure of the RAG
This contribution was made on Feb 6
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fixed api keys and test initial results
This contribution was made on Feb 6
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Vectordb: basic implementation for retireval and rag functionality
This contribution was made on Feb 5
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Data summrization v1: using llama 8b model from groq for text and table, using gpt-4o-mini from openai for images
This contribution was made on Feb 5
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extracted text, image, and table from the pdf
This contribution was made on Feb 5
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initial setup and project structure
This contribution was made on Feb 5