Skip to content
View mutual-ai's full-sized avatar

Block or report mutual-ai

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. fundus-vessel-segmentation-tmbe fundus-vessel-segmentation-tmbe Public

    One of the first steps in automatic fundus image analysis is the segmentation of the retinal vasculature, which provides valuable information related to several diseases. In this work, we present a…

    MATLAB 13 8

  2. Information-Bottleneck-for-Deep-Learning Information-Bottleneck-for-Deep-Learning Public

    Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.

    Jupyter Notebook 12 7

  3. awesome-bio-datasets awesome-bio-datasets Public

    Forked from OpenGene/awesome-bio-datasets

    awesome-bio-datasets

    2 1

  4. Animal_Detection_System Animal_Detection_System Public

    This is my Thesis. In this project we implemented and studied an Animal Detection System, aiming at both high detection accuracy and computational efficiency. Specifically, we propose a two-stage d…

    C++ 2 1

  5. Semantic-Image-Segmentation-using-Contextual-Hierarchical-Models Semantic-Image-Segmentation-using-Contextual-Hierarchical-Models Public

    Developed a segmentation framework to use Contextual Hierarchical Models with CNNs to segment images and produced results with improved pixel-wise and class average accuracy.

    MATLAB 2 3

  6. DeepLearningClinicalDiagnostics DeepLearningClinicalDiagnostics Public

    Forked from NikolayOskolkov/DeepLearningClinicalDiagnostics

    Here I show how to utilize Bayesian Deep Learning using PyMC3 for making more accurate and safer predictions for biomedical applications

    HTML 2