axruff Goto Github PK

3dunetcnn

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

autocorr

2D Auto-correlation flow using NVIDIA CUDA

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

batteries

biomedisa

The Biomedical Image Segmentation App (https://biomedisa.org) is an open-source online platform for segmentation of 3D images, e.g. CT and MRI scans, @UniHeidelberg @HITStudies.

bones

books

Best books on Computational Sciences

brains

All about studies of brains

cork

correlation

course-v3

The 3rd edition of course.fast.ai

css3-github-buttons

Helps you easily create GitHub-style buttons and toolbars using links, buttons, and inputs.

cuda-flow2d

2D Optical flow using NVIDIA CUDA

cuda-flow3d

3D Optical flow using NVIDIA CUDA

cuda-kernels

CUDA kernels for image processing

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deeplearning

A collection of research papers, datasets and software on Deep Learning

deeplearning-models

A collection of various deep learning architectures, models, and tips

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

drishti

Drishti

drit

Learning diverse image-to-image translation from unpaired data

efficientnet-pytorch

A PyTorch implementation of EfficientNet

embedseg

Code Implementation for the preprint "Embedding-based Instance Segmentation for Microscopy Images"

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

fieldplay

A vector field explorer

flatfield

Adaptive Flat-Field Correction

flowvis

generative_inpainting

Generative Image Inpainting with Contextual Attention, CVPR 2018

genre-shapehd

Code and data release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)