- Paris, France
- @nainia_ayoub
- in/ayoub-nainia
Stars
Bio-Medical EXpert LMM with English and Arabic Language Capabilities
Utilities intended for use with Llama models.
Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
A curated list of awesome high performance computing resources
The official Python library for the OpenAI API
π± EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
π Process PDFs, Word documents and more with spaCy
Example projects that demonstrate how to build, train, and deploy ML features and models using the Qwak platform π₯
A curated list of papers about key information extraction.
A Unified Toolkit for Deep Learning Based Document Image Analysis
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
Using shadcn-ui components in streamlit
A high-throughput and memory-efficient inference and serving engine for LLMs
NLP Projects playlist
Version 4 of the EMBL-EBI Ontology Lookup Service (OLS)
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. π¨π»βπ³
Jupyter notebooks for the Natural Language Processing with Transformers book
An Educational Project (step by step) to teach how to build a production-ready app for RAG application.
High accuracy RAG for answering questions from scientific documents with citations
A simple library for training named entity recognition model from partially annotated data
OCR, layout analysis, reading order, table recognition in 90+ languages
This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 conβ¦
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024