The simplest, fastest repository for training/finetuning medium-sized GPTs.

EvalAssist is an open-source project that simplifies using large language models as evaluators (LLM-as-a-Judge) of the output of other large language models by supporting users in iteratively refin…

MIRIAD is a million-scale Medical Instruction and Retrieval Datatset

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Get your documents ready for gen AI

Python tool for converting files and office documents to Markdown.

Convert PDF to markdown + JSON quickly with high accuracy

A machine learning software for extracting information from scholarly documents

A Comprehensive Toolkit for High-Quality PDF Content Extraction

Awesome papers for role-playing with language models

AI Agent Framework, the Pydantic way

Build, run, manage agentic software at scale.

A Langgraph-based repository which runs a debate between debater agents

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

A compilation of the best multi-agent papers

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs

Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

[ICLR 2026] Tina: Tiny Reasoning Models via LoRA

Almanac: Retrieval-Augmented Language Models for Clinical Medicine

[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537

OneKE is a knowledge extraction framework based on a large model, with preliminary generalized knowledge extraction capabilities in both Chinese and English and in multiple fields and tasks.

A full spaCy pipeline and models for scientific/biomedical documents.

[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

Vector Guideline Comparison for Medical Oncology

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.

Concept Bottleneck Models, ICML 2020

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"