ramyh

Attention-Gated-Networks

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

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3D-Unet--Tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

3D-unet-keras-Brats2019

3D Unet biomedical segmentation model for BraTS2019

3DUnet-Tensorflow-Brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

auto_annotate

Breast-Cancer-Detection

AI app to detect breast cancer in histopathological database

Data-Structures-and-Algorithms

Data Structures and Algorithms in Python

DeepBrainSeg

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Detecting-Pneumonia-in-Chest-X-Rays

A Computer Vision model made in PyTorch that detects Pneumonia in Chest X-Rays

dl_tutor

HRNet-Semantic-Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

LeetCode-3

:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions

Leetcode-in-python-50-Algorithms-Coding-Interview-Questions

Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

Mask_RCNN

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

mmdetection_object_detection_demo

How to train an object detection model with mmdetection

models

Models and examples built with TensorFlow

MRI-to-PET-Translation

3D encoder-decoder networks to predict Brain PET from multi-contrast MRI

PathomicFusion

Fusing Histology and Genomics via Deep Learning.

run-vnet-keras

Bash and python scripts to run a keras-implemented V-Net 3D segmentation model.

SC-GAN

SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis

SDV

Synthetic Data Generation for tabular, relational, time series data.

shapash

Shapash makes Machine Learning models transparent and understandable by everyone

slice_image_with_annotations

Slice a image into tiles and recalculates the annotations coordinates and saves them into separate files

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

taming-transformers

vnet-tensorflow

Implementation of vnet in tensorflow for medical image segmentation

VNet-Tensorflow-1

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

ZTM-DS-and-Algo-Python

Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.