John1231983

kaggle-ds-bowl-2018-baseline

Full train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN

finetune-detr

Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.

MRI-Segmentation-Transformer

MTL-Homoscedastic-Uncertainty

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

tensorflow_input_image_by_tfrecord

Feed your own image data to a pre-trained network by tensorflow

Age-Gender-Estimate-TF

Face age and gender estimate using TensorFlow

BraTS2018_NvNet

Implementation of NvNet

CFUN

Combining Faster R-CNN and U-net for efficient whole heart segmentation

cycada_release

Code to accompany ICML 2018 paper

Deep-Neural-Network-Ensembles-for-Extreme-Classification

Deep Neural Network Ensembles for Extreme Classification

deep-residual-networks

Deep Residual Learning for Image Recognition

Deeplab-v2--ResNet-101--Tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

deeplab_v3

Implementation of the Semantic Segmentation DeepLab_V3 CNN as described in: https://arxiv.org/pdf/1606.00915.pdf

DeepLabV3-Tensorflow

Reimplementation of DeepLabV3

E6040-super-resolution-project

Implementation in pytorch of a recent paper in deep adversarial learning for super resolution of medical images.

gekko

A bitcoin trading bot written in node - https://gekko.wizb.it/

int-cyclegan-brats-distance

kaggle-camera-model-identification

Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification

kaggle-dsbowl-2018-dataset-fixes

Kaggle Data Science Bowl 2018 dataset fixes

mhd_utils

Reading and writing .mhd files in python, extension from https://sites.google.com/site/pjmedphys/

models

Models and examples built with TensorFlow

MRIMath

PStrip

PCA Model for Brain Extraction

segmentation_DLMI

semi-cyclegan-batchnorm-repl

tensorflow

Computation using data flow graphs for scalable machine learning

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tf_CollaGAN_BRATS

Tensorflow implementation of Collaborative GAN for missing MR contrast imputation and its segmentation model for the quantitative evaluation.

Uncertainty_DeepLearning

Collection of implementations regarding uncertainty prediction in deep learning

weighted-hausdorff-loss

A loss function (Weighted Hausdorff Distance) for object localization in PyTorch