ambssharma Goto Github PK

02456_mbzirc

Deep Learning project to solve the position of a wrench for the MBZIRC competition

ce-net

The manuscript has been accepted in TMI.

cs-video-courses

List of Computer Science courses with video lectures.

deep-visualization-toolbox

DeepVis Toolbox

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

draw_convnet

efgrnet

Enriched Feature Guided Refinement Network for Detection，ICCV2019.

faiss

A library for efficient similarity search and clustering of dense vectors.

fastai-projects

Jupyter notebooks that use the Fastai library

gan-chest-data

Generate fake images for chest X-ray

ganhacks

starter from "How to Train a GAN?" at NIPS2016

glucoma_classification

ifr-net-code

Iterative Feature Refinement Network for Compressed Sensing MRI

image-classification-using-cnn-and-keras

Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.

mnet_deepcdr

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

nn-svg

Publication-ready NN-architecture schematics.

od-fovea-regression

A Pixel-wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection

od-segmentation

optic-cup-segmentation

optic-disk-cup-segmentation

Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

torchio

Tools for medical image processing in deep learning and PyTorch.

vess2ret

A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.