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AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
This is the top-level repository for the Accel-Sim framework.
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
🐝Tensorflow Implementation of Spatial Transformer Networks
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.
A collection of resources on applications of Transformers in Medical Imaging.
Implementations of recent research prototypes/demonstrations using MONAI.
Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.
Active Deep Learning for Medical Imaging Segmentation
SOTA medical image segmentation methods based on various challenges
OpenVINO™ integration with TensorFlow
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
3 dimensional spatial transformations
Reinforcement learning with A* and a deep heuristic
Massively parallel rigidbody physics simulation on accelerator hardware.
parallel graph management and execution in heterogeneous computing
better multiprocessing and multithreading in Python
A Python 3.5+ library that integrates the multiprocessing module with asyncio
An experimental alternative to the git-submodule command. Merges and splits subtrees from your project into subprojects and back.
An ITK external module which extends the LabelMap to include Oriented Bounding Box attributes.
A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more