a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

A list of awesome compiler projects and papers for tensor computation and deep learning.

Some enhancements for Microsoft WSL2

Development repository for the Triton language and compiler

Must-read papers on graph neural networks (GNN)

Instant neural graphics primitives: lightning fast NeRF and more

A collection of resources on neural rendering.

A curated list of point cloud registration.

Papers and Datasets about Point Cloud.

A list of papers about point clouds registration

A curated list of awesome neural radiance fields papers

Berkeley's Spatial Array Generator

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.

A resource repository for 3D machine learning

some materials about mesh segmentation, including papers, videos, codes, and so on. Updating every day!

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Open Source Differentiable Computer Vision Library

An extension of Open3D to address 3D Machine Learning tasks

A collection of papers about Transformer in the field of medical image analysis.

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

A cross platform utility library for ModernGL making window creation and resource loading simple

A collection of loss functions for medical image segmentation

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

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 …

tracking medical datasets, with a focus on medical imaging

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…