2591 Open source projects that are alternatives of or similar to Niftynet

Arm Machine Learning tutorials and examples

Framework for medical image segmentation using deep neural networks

Medical image registration using deep learning

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

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

Advanced Deep Learning with Keras, published by Packt

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Convolutional AutoEncoder application on MRI images

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Resurces for MRI images processing and deep learning in 3D

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

A modern PyTorch implementation of SRGAN

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

[CVPR2020] Adversarial Latent Autoencoders

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A Thai word tokenization library using Deep Neural Network

Keras tutorial for beginners (using TF backend)

Multi-platform, free open source software for visualization and image computing.

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

This is an open sourced book on deep learning.

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Emotion recognition using DNN with tensorflow

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Segment Source Distribution

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Speech Enhancement Generative Adversarial Network in TensorFlow

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Deep Learning for Time Series Classification

TensorFlow and Deep Learning Tutorials

Multi-platform, free open source software for visualization and image computing.

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

💃 Real-time single person pose estimation for Android and iOS.

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

Breast Cancer Classification using CNN and transfer learning

deeplearning.ai , By Andrew Ng, All video link

Examples trained using the python pytorch package pro-gan-pth

Data-centric declarative deep learning framework

Instantly improve your training performance of TensorFlow models with just 2 lines of code!

Switchable Normalization for semantic image segmentation and scene parsing.

Slicer extensions index

Convolutional Neural Network for 3D meshes in PyTorch

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

3D Unet Equipped with Advanced Deep Learning Methods

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

The Official Deep Learning Framework for Route-based Place Recognition

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

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications