Topic: "attention-network"
linto-ai/whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Language: Python - Size: 4.49 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 2,410 - Forks: 185

zcemycl/TF2DeepFloorplan
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.
Language: Python - Size: 7.93 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 227 - Forks: 74

monk1337/Various-Attention-mechanisms
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
Language: Python - Size: 643 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 125 - Forks: 25

monologg/NER-Multimodal-pytorch
Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)
Language: Python - Size: 31.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 50 - Forks: 11

cwangrun/LACNN
[TMI 2019] Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
Language: Python - Size: 82.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 11

tinymilky/RSANet
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
Language: Python - Size: 657 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 3

mv-lab/youtube8m-19
Google Research 3rd YouTube-8M Video Understanding Challenge 2019. Temporal localization of topics within video. International Conference on Computer Vision (ICCV) 2019.
Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 3

anubhavshrimal/Attention-Beam-Image-Captioning
Image captioning using beam search heuristic on top of the encoder-decoder based architecture
Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 9

marmotlab/Context_Aware_Navigation
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model
Language: Python - Size: 108 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1

tuvovan/ANL-HDRI
High Dynamic Range Image Synthesis via Attention Non-Local Network
Language: Python - Size: 3.23 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 0

johnny12150/DySAT_python3
Python 3 supported version for DySAT
Language: Python - Size: 2.42 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

Bhattacharya-Lab/lociPARSE
locality-aware invariant Point Attention-based RNA ScorEr
Language: Python - Size: 26.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0

HristovB/Speech_Recognition_Macedonian
Speech recognition model for recognising Macedonian spoken language.
Language: Python - Size: 52.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

maklachur/SiamFRN
This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the feature refine mechanism to improve network discrimination power that augments the network ability to track the target in challenging scenarios.
Size: 24.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

lhkhiem28/Enhancing-Vietnamese-Sentiment-Analysis-with-Ensemble-Networks
This is the official source code of our IEA/AIE 2021 paper
Language: Python - Size: 155 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

maklachur/SCSAtt
Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning
Language: Python - Size: 17.1 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

namwonss/DA-Net
[IEEE Access 2024] DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image
Language: Python - Size: 19.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 1

bmezaris/Gated-ViGAT
Gated-ViGAT. Code and data for our paper: N. Gkalelis, D. Daskalakis, V. Mezaris, "Gated-ViGAT: Efficient bottom-up event recognition and explanation using a new frame selection policy and gating mechanism", IEEE International Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.
Language: Python - Size: 169 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

JoshuaEbenezer/attention_vqa
Using attention network to extend image quality assessment algorithms for video quality assessment
Language: Python - Size: 277 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

Yi-Eaaa/FlexiCrime
FlexiCrime: A crime prediction model capable of making predictions over flexible time intervals.
Language: Python - Size: 10.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

LamineTourelab/Machine-Learning-with-Graphs Fork of LeilaOutem/Stanford_coLabs
Graphs are a general language for describing and analyzing entities with relations/interactions.
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

AndreMaz/dnn-attention
Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2
Language: Python - Size: 235 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Aveek-Saha/Transformer
A TensorFlow 2.0 Implementation of the Transformer: Attention Is All You Need
Language: Python - Size: 39.1 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

anilprakash94/neur_ally
Deep learning model for non-coding regulatory variants
Language: Python - Size: 4.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Usman095/DeepAtles
An attention network for predicting peptide lengths (and other features) from mass spectrometry data.
Language: Jupyter Notebook - Size: 985 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

JayantSharma08/RAGAT Fork of liuxiyang641/RAGAT
A customized version of the Relational Aware Graph Attention Network for large scale EHR records.
Language: Python - Size: 73.8 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

enceladus-rex/chainer-transformer
An implementation of Transformer Networks using Chainer
Language: Python - Size: 73.2 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
