nananasiri

nananasiri's Stars

• callmeartan/habitly

  Language:Dart21

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3k

• MajidMoghadam2006/Pytorch-Neural-Network

  Simple implementation of Pytorch Neural Networks with Examples

  Language:Jupyter Notebook1

• nananasiri/Multiple-Interaction-Photon-Events-in-Pixelated-CZT

  Language:Jupyter Notebook1

• klasma/BaxterAlgorithms

  Software for segmentation, tracking and analysis of cells in microscope image sequences.

  Language:MATLAB4013

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.4k2.5k

• oist/Usiigaci

  Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning

  Language:Jupyter Notebook19368

• yijingru/KG_Instance_Segmentation

  [MICCAI 2019] Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

  Language:Python8323

• carpenterlab/unet4nuclei

  U-net based segmentation of nuclei in microscopy images

  Language:Jupyter Notebook5111

• blakeliu/awesome-cell-detection-segmentation

  nucleus/cell and histopathology image classification,detection,segmentation

  25453

• Connor323/Cancer-Cell-Tracking

  This project focuses on tracking cancer cell based on Fuhua et al. [1], which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.

  Language:Jupyter Notebook388

• joda01/haccellsegmentaion

  Mask R-CNN AI model to segment HAC cells in microscope pictures using PyTorch

  Language:Python2

• sarahmfrost/artaffect

  Artaffect- A Novel Art Database Exploration Experience

  Language:HTML3

• alecheckert/quot

  A simple single molecule tracking pipeline with a graphic user interface for quality control.

  Language:Python132

• optas/artemis

  Learning to ground explanations of affect for visual art.

  Language:Jupyter Notebook30629

• Kilichbek/artemis-speaker-tools-b

  Artemis Speaker Tools B

  Language:HTML221

• UCL/STIR

  Software for Tomographic Image Reconstruction

  Language:C++11695

• jcgarciaca/natural_language_processing_with_sequence_models

  Language:Jupyter Notebook31

• onceupon/deep_learning_DNA

  classifying human DNA sequence and random ATCG sequences, using keras CNN

  Language:Jupyter Notebook232

• DongDongNeophyte/sequence-model-based-LSTM

  A deep learning model based Bi-LSTM for identifying DNA enhancer with tensorflow

  Language:Python1

• naitik2314/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning

  Chest X Ray Medical Diagnosis with Deep Learning

  Language:Jupyter Notebook96

• gurucharan-marthi/AI-for-Medical-Diagnosis

  This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Diagnosis" in Coursera by deeplearning.ai. Please use this only for reference Purpose

  Language:Jupyter Notebook2227

• gurucharan-marthi/AI-for-Medical-Prognosis

  This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Prognosis" in Coursera by deeplearning.ai. Please use this only for reference Purpose

  Language:Jupyter Notebook77

• udacity/nd320-c3-3d-med-imaging

  Language:Jupyter Notebook4865

• raphl-stx/AI_for_healthcare_Udacity

  Code for Udaity Nanodegree AI for Healthcare

  Language:Jupyter Notebook32

• wen3lee/AI_for_Healthcare_Nanodegree

  AI for Healthcare Nanodegree from Udacity

  Language:Jupyter Notebook2

• glungu/udacity-healthcare-ai

  Udacity AI for Healthcare Nanodegree Projects

  Language:Jupyter Notebook2012

• tlatkowski/inpainting-gmcnn-keras

  Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

  Language:Python9340

• moodoki/semantic_image_inpainting

  Semantic Image Inpainting

  Language:Python17056