Starred repositories
Adding guardrails to large language models.
Agent self-driven repository on bio-agent papers, i.e. papers on LLM-based agents in biology and medicine.
🚀 [NeurIPS24] Make Vision Matter in Visual-Question-Answering (VQA)! Introducing NaturalBench, a vision-centric VQA benchmark (NeurIPS'24) that challenges vision-language models with simple questio…
Official Implementation of "DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucination"
The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom informatio…
A unified evaluation framework for large language models
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
A collection of resources and papers on Diffusion Models
Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
A collection of resources on applications of multi-modal learning in medical imaging.
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
Examples that illustrate how to use 3D Slicer via Jupyter notebooks in Python
Extension for 3D Slicer that allows the application to be used from Jupyter notebook
Medical imaging processing for AI applications.
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images [ICLR 2022]
HI-ML toolbox for deep learning for medical imaging and Azure integration
Awesome list of software that I use to do research in medical imaging.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Data Augmentation For Object Detection
Datasets, Transforms and Models specific to Computer Vision
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…