Marina Samprovalaki's starred repositories
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
imageclef2024
Participation of the AUEB NLP Group in the 8th edition of the ImageCLEFmedical Caption evaluation campaign
LLaVA-CLI-with-multiple-images
LLaVA inference with multiple images at once for cross-image analysis.
data-curation
codebase for The Role of Data Curation in Image Captioning
contriever
Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
llama-chat
A boilerplate for creating a Llama 3 chat app
python-twitter
A simple Python wrapper for Twitter API v2 ✨ 🍰 ✨
twitterImgBot
Ever wanted to randomly tweet pictures from a folder? No? Well, maybe you do now.
zotero-night
Night theme for Zotero UI and PDF
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.
LLaVA-Plus-Codebase
LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
Linear-Regression-Model-for-House-Price-Prediction
Linear Regression Model for Real State House Price Prediction
github-readme-stats
:zap: Dynamically generated stats for your github readmes
next-translate
Next.js plugin + i18n API for Next.js 🌍 - Load page translations and use them in an easy way!
material-ui-course-create-react-app
This is the final code for the create-react-app version of Project 1 built in the Udemy course 'Implement High Fidelity Designs with Material-UI & ReactJS'
material-ui-course-nextjs
This is the final code for Project 1 in the Udemy course 'Implement High Fidelity Designs with Material-UI & ReactJS' after migrating to Next.js
Real-Estate-data-analysis
Use pandas, Data visualisation libraries(Matplotlib or Seaborn) to establish conclusions about a dataset.
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.