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Armando Daniel Diaz Gonzalez's Projects

accusyn icon accusyn

AccuSyn: An Accurate Web-based Genome Synteny Browser

aws-data-wrangler icon aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

aws-genai-llm-chatbot icon aws-genai-llm-chatbot

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS

biograph icon biograph

BioGraph: an online service and a graph DB for querying and analyzing bioinformatics resources

d3-node icon d3-node

Server-side D3 for static chart/map generation ✨📊

d3-shape icon d3-shape

Graphical primitives for visualization, such as lines and areas.

geneall icon geneall

🧬 App for teaching and learning genetics

genotify icon genotify

A minimal desktop app for easy and convenient gene annotation.

h2ogpt icon h2ogpt

Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

kaggle-competitions icon kaggle-competitions

This project contains multiple examples of Kaggle competitions. You can see how to solve them by applying ML algorithms in Pytho

library icon library

Web interface to the open targets document repository search engine

library-rental-management-system icon library-rental-management-system

This project is a command line application for students who want to rent books and have access to the book availability in the library, and also a librarian who needs to manage the book stock and book information. It will be a useful tool for people to save their time in a library.

llama2-medical-chatbot icon llama2-medical-chatbot

This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.

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