263 Open source projects that are alternatives of or similar to Optic-Disc-Unet

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Chinese Poetry Generation

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

Sparse and structured neural attention mechanisms

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

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

attention-based LSTM/Dense implemented by Keras

TianChi AIEarth Contest Solution

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Coherent Semantic Attention for image inpainting(ICCV 2019)

Attention-guided CNN for image denoising(Neural Networks,2020)

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

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

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

attention based joint model for intent detection and slot filling

My take on a practical implementation of Linformer for Pytorch.

Implementation of Slot Attention from GoogleAI

A Neural Network based Chatbot

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Implementation of the Point Transformer layer, in Pytorch

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Image Captions Generation with Spatial and Channel-wise Attention

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

Train and visualize Hierarchical Attention Networks

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

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

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

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

Attention-based multimodal fusion for sentiment analysis

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Important paper implementations for Question Answering using PyTorch

Neural Models for Key Phrase Detection and Question Generation

Hierarchical Attentive Recurrent Tracking

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Fully featured implementation of Routing Transformer

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Attention mechanism Implementation for Keras.

Deep-Learning based CTR models implemented by PyTorch

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Chainer implementation of Deepmind's Visual Attention Model paper

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

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

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.