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282 search results found

Swin Transformer V2 ⭐ 106

PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].

Pytorch Question Answering ⭐ 102

Important paper implementations for Question Answering using PyTorch

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

H Transformer 1d ⭐ 100

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

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

Tensorflow Font2char2word2sent2doc ⭐ 98

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

Tensorflow Implement of GeoMAN, IJCAI-18

Machine Learning ⭐ 92

My Attempt(s) In The World Of ML/DL....

Residualattentionnetwork ⭐ 92

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Tacotron Pytorch ⭐ 90

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

Transformer_image_caption ⭐ 85

Image Captioning based on Bottom-Up and Top-Down Attention model

100 Days Of Nlp ⭐ 83

Retrieval Regionalattention ⭐ 82

Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/

Neural Vqa Attention ⭐ 81

❓ Attention-based Visual Question Answering in Torch

Dense Coattention Network ⭐ 81

Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

Intra Bag And Inter Bag Attentions ⭐ 80

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Eeg Transformer ⭐ 79

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

Deeplearningreading ⭐ 78

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Operation Wise Attention Network ⭐ 74

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)

Transformercpi ⭐ 71

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

Hamburger Pytorch ⭐ 70

Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"

Image Caption Generator ⭐ 70

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

Jeelizglancetracker ⭐ 68

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

Group Level Emotion Recognition ⭐ 67

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Glass Text Spotting ⭐ 65

Official implementation for "GLASS: Global to Local Attention for Scene-Text Spotting" (ECCV'22)

Attentionxml ⭐ 65

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

Deep Fashion Analysis Eccv2018 ⭐ 60

Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention"

Fake_news_detection_deep_learning ⭐ 60

Fake News Detection using Deep Learning models in Tensorflow

Keras Utility Layer Collection ⭐ 59

Collection of custom layers and utility functions for Keras which are missing in the main framework.

Time Attention ⭐ 58

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A deep learning library based on Pytorch focussed on low resource language research and robustness

Cambridge Ai ⭐ 58

AReLU: Attention-based-Rectified-Linear-Unit

“Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild”, IEEE T-IP, 2021.

Ntua Slp Semeval2018 ⭐ 58

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Erasing Attention Consistency ⭐ 57

Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Pytorch Attention Guided Cyclegan ⭐ 57

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Cell Detr ⭐ 57

Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].

This is a repository for summarizing papers especially related to machine learning.

Abivirnet ⭐ 56

Attention Bidirectional Video Recurrent Net

Hhh An Online Question Answering System For Medical Questions ⭐ 55

HBAM: Hierarchical Bi-directional Word Attention Model

Deepattention ⭐ 55

Deep Visual Attention Prediction (TIP18)

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

Recurrent Independent Mechanisms ⭐ 53

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Sarcasm Detection ⭐ 52

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Text Classification Keras ⭐ 50

📚 Text Classification Library with Keras

Perceiver ⭐ 50

Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

Bidirectiona Lstm For Text Summarization ⭐ 49

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Transformerx ⭐ 49

Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)

Lie Transformer Pytorch ⭐ 49

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

Efficient Attention ⭐ 48

An implementation of the efficient attention module.

Deep Learning Tensorflow ⭐ 47

Gathers Tensorflow deep learning models.

Projectrul ⭐ 47

to prediction the remain useful life of bearing based on 2012 PHM data

Semantic Aware Attention Based Deep Object Co Segmentation ⭐ 46

Semantic Aware Attention Based Deep Object Co-segmentation

Adjacent Attention Network ⭐ 45

Graph neural network message passing reframed as a Transformer with local attention

Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

Isab Pytorch ⭐ 44

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

Deep Learning For Tag Recommendation ⭐ 43

this is the collection for the papers and codes for tag/hashtag recommendation

Ferattention ⭐ 43

FERAtt: Facial Expression Recognition with Attention Net

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

Relational_deep_reinforcement_learning ⭐ 41

Attention_is_all_you_need ⭐ 41

Entailment Neural Attention Lstm Tf ⭐ 40

(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.

Tensorflow Chatbot Chinese ⭐ 39

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Attention Augmented Conv ⭐ 39

Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)

Ram_modified ⭐ 38

"Recurrent Models of Visual Attention" in TensorFlow

Convolutional Vqa ⭐ 38

Cova Web Object Detection ⭐ 37

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Attentional Neural Factorization Machine ⭐ 37

Attention,Factorization Machine, Deep Learning, Recommender System

Anmm Cikm16 ⭐ 37

Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection

Rcan Tensorflow ⭐ 36

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Lstm_han ⭐ 36

LSTM and Hierarchical Attention Network on DSVM

Reading_comprehension_tf ⭐ 36

Machine Reading Comprehension in Tensorflow

Multivariate Attention Tcn ⭐ 35

Attentive Neural Process ⭐ 34

A Pytorch Implementation of Attentive Neural Process

Automatic Personality Prediction ⭐ 33

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Hierarchical Word Sense Disambiguation Using Wordnet Senses ⭐ 33

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Visual Question Answering ⭐ 32

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

Snowselect ⭐ 32

CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)

Deep Conv Attr ⭐ 31

An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"

Niftytorch.doc ⭐ 29

A Python API for deploying deep neural networks for Neuroimaging research. Powered by IMG at Stevens Neuroimaging and Informatics Institute, KSOM, USC.

Pytorch Ocr ⭐ 29

Simple Pytorch framework to train OCRs. Supports CRNNs, Attention, CTC and Cross Entropy Loss.

Framework for artificial neural networks

Paper_implementation ⭐ 27

Implementation of various generative deep model using tensorflow

Axial Positional Embedding ⭐ 27

Axial Positional Embedding for Pytorch

Dynet Att ⭐ 27

An attentional NMT model in Dynet

Cs224n Win2223 ⭐ 27

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

VirNet: A deep attention model for viral reads identification

Im2latex ⭐ 26

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

Diabetic Retinopathy Detection ⭐ 26

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-

Recognizing Textual Entailment ⭐ 26

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

Up Down Captioner ⭐ 25

Caffe implementation of paper: "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering"

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