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2019_caicedo_dsb

Analysis of results of the Data Science Bowl 2018

3d-unet

Chainer implementations of 3D UNet

3ddescriptornet

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

3dunetcnn

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

annotation-prototype

awesome-rl

Reinforcement learning resources curated

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bigcat

Collaborative volume annotation and segmentation with BigDataViewer

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

crunch

Insane(ly slow but wicked good) PNG image optimization

csbdeep

Image restoration for fluorescence microscopy

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

datacamp

DataCamp data-science courses

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deepcell

deslib

A Python library for dynamic classifier and ensemble selection

detr

End-to-End Object Detection with Transformers

draw_convnet

drfns

This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map".

dsb_2018

eg16_tutorial

Demo material for the EG16 tutorial on "Deep learning for 3D shape analysis"

end-to-end-compression

A code to implement end to end image compression framework

etc-clarity-chamber

An inexpensive, simple, and robust tissue clearing chamber for use with CLARITY.

focusstack

Simple Focus Stacking in Python: Merge a collection of photos taken at different focus depths into one image with sharp focus

fundamentals_image_processing

Course material for fundamentals in digital image processing

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

histoqc

HistoQC is an open-source quality control tool for digital pathology slides

image_analysis_in_python_basics