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Official repository for the study "Evaluating Large Language Model-Generated Brain MRI Protocols: Performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5"
3D Slicer Plugin for Segment anything in medical images
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A multi-agent AI research system designed to know what it knows (and doesn't know) when conducting research and creating content.
A generative AI extension for JupyterLab
Moxin is a family of fully open-source and reproducible LLMs
Get your documents ready for gen AI
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
AMEGA-LLM: Autonomous Medical Evaluation for Guideline Adherence of Large Language Models
Enforce the output format (JSON Schema, Regex etc) of a language model
A modular graph-based Retrieval-Augmented Generation (RAG) system
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.
A guidance language for controlling large language models.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
PARROT is a collaborative initiative to create and annotate radiology reports to facilitate the access to high-quality multi-lingual medical data for the NLP community
Container with utility scripts for medical image analysis
Curated list of datasets and tools for post-training.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.