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A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing vasculature (or blood vessels) morphologies.
Learning materials for "Pattern Recognition and Machine Learning" by Chris Bishop.
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
A program to evaluate the quality of image segmentations.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…
How to Make a Computer Operating System in C++
Datasets, Transforms and Models specific to Computer Vision
deep learning for image processing including classification and object-detection etc.
A faster pytorch implementation of faster r-cnn
MetaImage is the text-based tagged file format for medical images that resulted. We have now extended that file format to support a variety of objects that occur in medicine such a tubes (for vesse…
A simple, easily hackable C++ surface voxelizer (STL=>voxels)
A C++ tool for converting 3D .stl file to voxels
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…
Learn OpenCV : C++ and Python Examples
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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A curated list of awesome Machine Learning frameworks, libraries and software.