386 Open source projects that are alternatives of or similar to Brain-Tumor-Segmentation

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Training neural networks in TensorFlow 2.0 with 5x less memory

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system

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An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

An unofficial implementation of W-Net for crowd counting.

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

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

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

tensorflow 2.0 正式版实用教程/tutorial

Русскоязычный чат-бот для Discord на архитектуре Transformer

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

Generative Adversarial Networks in TensorFlow 2.0

MRI simulation toolkit

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Multimodal Brain Tumor Segmentation Challenge 2018

This is the example implementation of UNet model for semantic segmentations

medical image visualization library and development toolkit

organic chemistry reaction prediction using NMT with Attention

Multi-modal Image Registration And Connectivity anaLysis

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Advanced Normalization Tools in R

Attention Unet model with post process for retina optic disc segmention

Open resource exchange platform for non-human primate neuroimaging

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.

jemal gem – Ruby interface to jemalloc

The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠

Awesome Magnetic Resonance Imaging (MRI)

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

An AI-powered open-source medical image analysis toolbox

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

A Neural Network based Chatbot

My take on a practical implementation of Linformer for Pytorch.

Neural networks to segment some type of biomedical images

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

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

This is our implementation of SAMN: Social Attentional Memory Network

Specialized tools for MRI

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

TF2 implementation of PointNet for segmenting point clouds