A Python nearest neighbor descent for approximate nearest neighbors

OpenMMLab Detection Toolbox and Benchmark

Preserving Clusters and Correlations: Dimensionality reduction with exceptional high global structure preservation

TorchDR - PyTorch Dimensionality Reduction

MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.

Code for the paper https://arxiv.org/abs/2003.00827

[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

NVIDIA Federated Learning Application Runtime Environment

PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).

(CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient

[ECCV 2022] Personalizing Federated Medical Image Segmentation

Benchmark of federated learning. Dedicated to the community. 🤗

A python package for multicalibration post-processing.

An AI framework for clinical diagnosis of 3D biomedical scans

MediSwarm is an open-source project for advancing medical deep learning using swarm intelligence and NVFlare. Developed by the Odelia consortium, it ensures data privacy through federated learning,…

Experimental repo for Odelia project based on HPE platform. This repo contains multiple models for histopathology and radiology training.

The interactive graphing library for Python ✨

A simplified library for decentralized, privacy preserving machine learning

Robust multimodal image registration via keypoints

Lyapunov-stable Neural Control for State and Output Feedback

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

prime is a framework for efficient, globally distributed training of AI models over the internet.

Precision-recall-gain for Python

A PyTorch implementation of constrained optimization and modeling techniques

Software to create Precision-Recall-Gain curves and calculate area under the curve

BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…

MONAI Versatile Imaging Segmentation and Annotation