651 Open source projects that are alternatives of or similar to Neurite

A lightweight I/O utility for the BrainVision data format, written in Python.

Application of Deep Learning to the segmentation of medical images

Time series annotation library.

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

A framework for developing neural network models for 3D image processing.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Segmentation of skin cancers on ISIC 2017 challenge dataset.

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

A publicly-editable collection of open computational neuroscience resources

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Visualizer for large-scale and interactive ray-tracing of neurons

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

This project is a tool to build CheXNet-like models, written in Keras.

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

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

A curated list of dedicated resources and applications

Medical image registration using deep learning

A multi-channel neural network audio classifier using Keras

A modern deep learning framework built to accelerate research and development of AI systems

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Deep-Learning Model Exploration and Development for NLP

CNN for Chinese Text Classification in Tensorflow

PyTorch implementation of Super SloMo by Jiang et al.

TensorFlow Tutorials

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

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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

A generalized gradient-based CNN visualization technique

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Simplify the training and tuning of Tensorflow models

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

CNN image style transfer 🎨.

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

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

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

Dicoogle - Open Source PACS

Weakly Supervised Learning for Findings Detection in Medical Images

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Image segmentation - general superpixel segmentation & center detection & region growing