Starred repositories
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🤗 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.
Datasets, Transforms and Models specific to Computer Vision
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Medical imaging processing for AI applications.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Adding guardrails to large language models.
Awesome list of software that I use to do research in medical imaging.
A unified evaluation framework for large language models
Unsupervised Learning for Image Registration
Agent self-driven repository on bio-agent papers, i.e. papers on LLM-based agents in biology and medicine.
A collection of resources on applications of multi-modal learning in medical imaging.
3D U-Net model for volumetric semantic segmentation written in pytorch
HI-ML toolbox for deep learning for medical imaging and Azure integration
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
🚀 [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…
Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Extension for 3D Slicer that allows the application to be used from Jupyter notebook
A collection of resources and papers on Diffusion Models
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377