manal-asdg

manal-asdg's Stars

• cmh325/CS231n-stanford-course-material

  Working through CS231n: Convolutional Neural Networks for Visual Recognition

  Language:HTML96

• mselimata/tutorials

  OxML2020

  Language:Jupyter Notebook127

• xiehousen/Dense-Unet

  An idea of combining Densenet and Unet, Keras

  Language:Python295

• karnaankit/AI-For-Medicine

  This repo contains my assignment solutions of AI for Medicine Specialization on Coursera

  Language:Jupyter Notebook1719

• seungjunlee96/AI-for-Medicine

  This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)

  Language:Jupyter Notebook5921

• Machine-Learning-Tokyo/DL-workshop-series

  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

  Language:Jupyter Notebook937254

• NirantK/awesome-project-ideas

  Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

  8k1.2k

• anoubhav/CS7015-Deep-Learning

  This repository contains code for the assignments and projects related to CS7015 Deep Learning course offered by IITM CS department.

  Language:Jupyter Notebook42

• Milind-Blaze/CS7015_2019

  CS7015: Deep learning, IIT Madras. This repository contains code for all the assignments completed as a part of the course CS7015 Deep Learning at IIT Madras during the Jan-May semester of 2019 and some other useful material.

  Language:Jupyter Notebook3230

• jupyter/nbgrader

  A system for assigning and grading notebooks

  Language:Python1.3k317

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• jeffheaton/t81_558_deep_learning

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

  Language:Jupyter Notebook5.7k3k

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• CornellDataScience/Deep-Learning-Course

  Course material for introduction to deep learning in TensorFlow

  Language:Python226

• Ning-Ding/Implementation-CVPR2015-CNN-for-ReID

  Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".

  Language:Python14771

• digitalbrain79/person-reid

  Tensorflow implementation of "An Improved Deep Learning Architecture for Person Re-Identification"

  Language:Python11761

• MLenthousiast/reID_An-Improved-Deep-Learning-Architecture-for-Person-Re-Identification

  Implementation for CVPR 2015 Paper: "An Improved Deep Learning Architecture for Person Re-Identification".

  Language:Python12

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java13k2.7k

• DeepTrial/Retina-VesselNet

  A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

  Language:Jupyter Notebook30775

• jcjohnson/cnn-benchmarks

  Benchmarks for popular CNN models

  Language:Python2.5k408

• CVxTz/medical_image_segmentation

  Medical image segmentation ( Eye vessel segmentation)

  Language:Python13046

• getsanjeev/retina-features

  Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

  Language:Python13568

• orobix/retina-unet

  Retina blood vessel segmentation with a convolutional neural network

  Language:Python1.3k468

• s9xie/hed

  code for Holistically-Nested Edge Detection

  Language:C++1.8k530

• trane293/DDSMUtility

  Utility to greatly simplify downloading, converting, viewing and extracting annotations from the Digital Database for Screening Mammography (DDSM) database available here: http://marathon.csee.usf.edu/Mammography/Database.html

  Language:MATLAB5527

• warmspringwinds/tensorflow_notes

  Tensorflow notes

  Language:Jupyter Notebook227101

• flyyufelix/cnn_finetune

  Fine-tune CNN in Keras

  Language:Python937413

• gtoubassi/mnist-vae

  Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior classification results with limited labels.

  Language:Python324

• thuml/DAN

  Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

  Language:C++16073

• Yevkuzn/semodepth

  Semi-supervised monocular depth map prediction

  Language:Python7214