988 Open source projects that are alternatives of or similar to Deepmedic

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Visualisations for Convolutional Neural Networks in Pytorch

Awesome list of software that I use to do research in medical imaging.

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

A High-Quality Real Time Upscaler for Anime Video

Various CNN models for CIFAR10 with Chainer

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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

TensorFlow and Deep Learning Tutorials

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Next RecSys Library

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

RadIO is a library for data science research of computed tomography imaging

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Medical image preprocessing and augmentation toolkit for deep learning

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Deep Learning Computer Vision Algorithms for Real-World Use

Neural network inference the Unix way

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

Machine learning algorithms for many-body quantum systems

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Deep Learning tools for brain medical images

Neural networks toolbox focused on medical image analysis

Deep Learning Toolkit for Medical Image Analysis

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

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

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

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-efficiency floating-point neural network inference operators for mobile, server, and Web

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Speech Recognition model based off of FAIR research paper built using Pytorch.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Deep learning codes and projects using Python

Keras tutorial for beginners (using TF backend)

SincNet is a neural architecture for efficiently processing raw audio samples.

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Support content for my blog

船长关于机器学习、计算机视觉和工程技术的总结和分享

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Play deep learning with CIFAR datasets

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Code and other material for the book "Deep Learning and the Game of Go"

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Training neural models with structured signals.

Can Neural Networks Crack Sudoku?