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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Deep universal probabilistic programming with Python and PyTorch
A library to generate LaTeX expression from Python code.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Implementations of recent research prototypes/demonstrations using MONAI.
NVIDIA Federated Learning Application Runtime Environment
MONAI Label is an intelligent open source image labeling and learning tool.
Medical image registration using deep learning
A Cython alternative to Google's Python Protobuf library
Providing reproducibility in deep learning frameworks
pss is a power-tool for searching inside source code files.
Brain tumor segmentation for MICCAI 2017 BraTS challenge
MONAI Model Zoo that hosts models in the MONAI Bundle format.
NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.
MONAI Versatile Imaging Segmentation and Annotation
(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutiona…
COVID-19 Pneumonia Lesion segmentation network
A markdown table plugin for Sphinx
Python package for deep learning based image to image transformation
Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
The codebase is currently NOT under active development.
Optical projection tomography microscope for isotropic whole-brain imaging