6820 Open source projects that are alternatives of or similar to Pneumonia Detection From Chest X Ray Images With Deep Learning

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Music recommender using deep learning with Keras and TensorFlow

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Evaluation of the CNN design choices performance on ImageNet-2012.

Generating Captions for images using Deep Learning

CNN image classifier implemented in Keras Notebook 🖼️.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

猫狗大战

PyTorch to Keras model convertor

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Medical image preprocessing and augmentation toolkit for deep learning

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Skin cancer classification using Inceptionv3

A photo OCR project aims to output DMS messages contained in sign structure images.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Repo for Tang et al, bioRxiv 454793 (2018)

Pruning and other network surgery for trained TF.Keras models.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Build an OCR for iOS apps

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Exploratory Project on Fast Screen Space Global Illumination

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Corruption and Perturbation Robustness (ICLR 2019)

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

High Quality Monocular Depth Estimation via Transfer Learning

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

This toolbox is support material for the book on CNN (http://www.convolution.network).

Best Practices, code samples, and documentation for Computer Vision.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Binary Convolution Network for faster real-time processing in ASICs

On-device image recognition via TensorFlow/Inception. For Cordova/PhoneGap.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Visualisations for Convolutional Neural Networks in Pytorch

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Official repository for Big-Little Net