SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

Registry pattern for Python classes, with setuptools entry points integration!

Implementation for SimDINO/SimDINOv2

Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"

Collection of presentations for advanced Python topics

Python training for business analysts and traders

[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures

Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation

[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

AIVC is a fully-learned video codec. It is able to code video sequences at different rates and it features tunable coding configurations.

Liver segmentation using Deep Learning on LiTS 2017 Dataset

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Tools for computational pathology

[CVPR 2023] Label-Free Liver Tumor Segmentation

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024)

The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides code for working with the MIMeta Dataset as well as simple bas…

End-to-End Object Detection with Transformers

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

Python toolkit for quantitative finance

Powerful, open-source AI tools for digital pathology.

Transform datasets at scale. Optimize datasets for fast AI model training.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

MICCAI 2022 Paper

Hibou: Foundational Models for Pathology

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]