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

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

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

Working golang + tensorflow

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

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Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

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Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

An implementation of the efficient attention module.

NumPy, SciPy, MRI and Music | Presented at ISMRM 2021 Sunrise Educational Session

🐳 GAN implemented as Tensorflow 2.X

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A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

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source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Chainer implementation of Deepmind's Visual Attention Model paper

Graph theory analysis of brain MRI data

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Pytorch implementation of a basic language model using Attention in LSTM network

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

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

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

An unofficial implementation of W-Net for crowd counting.

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

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.

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

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

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

Русскоязычный чат-бот для Discord на архитектуре Transformer

Generative Adversarial Networks in TensorFlow 2.0

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

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

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organic chemistry reaction prediction using NMT with Attention

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Attention Unet model with post process for retina optic disc segmention

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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. 🤠

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

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A Neural Network based Chatbot

Neural networks to segment some type of biomedical images

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

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Specialized tools for MRI