gravity1989

Deep-Hough-Transform-Line-Priors

Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)

segment-correction-net

Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks

detectron2-ResNeSt

A fork of Detectron2 with ResNeSt backbone

seqnmf

An algorithm for unsupervised discovery of sequential structure

cardiacNMF

Machine Learning for Cardiac Ultrasound Time Series Data

us-beamform-linarray

Ultrasound beamforming using a linear array in Python and Rust.

Ultrasound_TMI

Ultrasound Image reconstruction

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

handout

Turn Python scripts into handouts with Markdown and figures

ML4MI_BootCamp

Code from the ML4MI Boot Camp.

umich-eecs545-lectures

This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.

DSACLine

Differentiable RANSAC: Learning Robust Line Fitting

fetalnav

Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)

matching-networks-pytorch

Matching Networks for one shot learning

rl-medical

Deep Reinforcement Learning (DRL) agents applied to medical images

ecg-denoise

Denoise of ECG signal with machine learning

Adversarial-Semisupervised-Semantic-Segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

CEAL-Medical-Image-Segmentation

Active Deep Learning for Medical Imaging Segmentation

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

MRI_intensity_normalization

Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000

Medical-Image-Analysis-IPython-Tutorials

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Deep-Learning-Based-ECG-Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

tf-dann

Domain-Adversarial Neural Network in Tensorflow

pytorch-gconv-experiments

Experiments with Group Equivariant Convolutions in PyTorch

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

srez

Image super-resolution through deep learning

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging