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adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

aide

AIDE: Annotation-efficient deep learning for automatic medical image segmentation

alib022.github.io

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

clip-forge

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

dbyll

Stylish, minimalistic theme for jekyll.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deidentify

A Python library to de-identify medical records with state-of-the-art NLP methods.

dicom-anonymizer

Tool to anonymize DICOM files according to the DICOM standard

dl-colab-notebooks

Try out deep learning models online on Google Colab

droid-slam

gedicomreader

This code converts 4D Flow MRI DICOM files from GE into VTK, MAT, and NPY formats.

gsnet

Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.

ib2d

An easy to use immersed boundary method in 2D, with multiple options for fiber-structure models with possible porosity, advection-diffusion, and/or artificial forcing.

intra

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

keybert

Minimal keyword extraction with BERT

learnopencv

Learn OpenCV : C++ and Python Examples

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

lungmask

Automated lung segmentation in CT

me463

Introduction to Finite Elements

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

medical-datasets

tracking medical datasets, with a focus on medical imaging

medicaldetectiontoolkit

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 dealing with medical images.

mtsi-bert

Multi-Turn-Single-Intent Bert model for dialogue session classification

object_detection_tracking

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

oci-cloudnative

MuShop - Cloud Native microservices demo for Oracle Cloud Infrastructure

openfoamcourse

Material for OpenFOAM course at UWM

orthweb

Orthanc on AWS with automatic deployment and Infrastructure as Code

particlesmodel