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python
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1,715 search results found
Vit Pytorch
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15,404
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Numpy Ml
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12,223
Machine learning, in numpy
External Attention Pytorch
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9,522
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Attention Is All You Need Pytorch
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7,813
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Text_classification
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7,628
all kinds of text classification models and more with deep learning
Espnet
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7,047
End-to-End Speech Processing Toolkit
Nmt
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6,085
TensorFlow Neural Machine Translation Tutorial
Gpt Neox
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6,049
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Bertviz
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5,547
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Dalle Pytorch
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5,289
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Informer2020
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4,029
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Transformer
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3,882
A TensorFlow Implementation of the Transformer: Attention Is All You Need
X Transformers
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3,439
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Scenic
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2,512
Scenic: A Jax Library for Computer Vision Research and Beyond
Spektral
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2,259
Graph Neural Networks with Keras and Tensorflow 2.
Image_segmentation
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2,186
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
A Pytorch Tutorial To Image Captioning
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2,084
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Gat
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2,078
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Reformer Pytorch
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1,917
Reformer, the efficient Transformer, in Pytorch
Deepvoice3_pytorch
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1,851
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Self Attention Gan
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1,822
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Pytorch Gat
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1,815
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Absa Pytorch
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1,782
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
Attention Module
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1,746
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Yoloair
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1,714
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Pygat
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1,684
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Deberta
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1,673
The implementation of DeBERTa
Chinese Text Classification Pytorch
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1,609
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_At
Yolov4 Pytorch
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1,572
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Danet
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1,556
Dual Attention Network for Scene Segmentation (CVPR2019)
Nlp Journey
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1,528
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
Bi Att Flow
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1,510
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Fast Transformers
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1,369
Pytorch library for fast transformer implementations
Hopfield Layers
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1,258
Hopfield Networks is All You Need
Rcan
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1,252
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Unet Segmentation Pytorch Nest Of Unets
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1,236
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Deep_architecture_genealogy
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1,196
Deep Learning Architecture Genealogy Project
Gansformer
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1,188
Generative Adversarial Transformers
Lambda Networks
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1,110
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Attention Gated Networks
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1,099
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Ccnet
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1,061
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Transformer
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1,014
PyTorch Implementation of "Attention Is All You Need"
Textclassifier
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1,003
Text classifier for Hierarchical Attention Networks for Document Classification
Sparse_attention
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1,002
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Attention Ocr
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973
Visual Attention based OCR
Ride
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896
Test data editor for Robot Framework
Attention Ocr
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874
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Arctic Captions
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831
Nlp Paper
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820
自然语言处理领域下的相关论文(附阅读笔记),复现模型以及数据处理等(代码含TensorFlow和Py
Nlp Tutorials
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794
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Performer Pytorch
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777
An implementation of Performer, a linear attention-based transformer, in Pytorch
Django Bootstrap
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735
Django Form Implementation of the Twitter-Bootstrap UI
Self Attention Gan
⭐
722
Awesome Fast Attention
⭐
717
list of efficient attention modules
Speech Transformer
⭐
714
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
Tf Rnn Attention
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703
Tensorflow implementation of attention mechanism for text classification tasks.
Spatial Transformer Network
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661
A Tensorflow implementation of Spatial Transformer Networks.
Ecanet
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658
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Keras Attention
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656
Visualizing RNNs using the attention mechanism
Seq2seq Pytorch
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653
Sequence to Sequence Models with PyTorch
Textclassification Keras
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649
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
Image_captioning
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634
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Joeynmt
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630
Minimalist NMT for educational purposes
Cbam.pytorch
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630
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Text Classification
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622
Implementation of papers for text classification task on DBpedia
Tensorflow Ocr
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616
🖺 OCR using tensorflow with attention
Rlseq2seq
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610
Deep Reinforcement Learning For Sequence to Sequence Models
Bottom Up Attention Vqa
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606
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Moran_v2
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593
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
Keras Self Attention
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570
Attention mechanism for processing sequential data that considers the context for each timestamp.
R Net
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569
Tensorflow Implementation of R-Net
Attentiongan
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564
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Adaptive Span
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557
Transformer training code for sequential tasks
Self Attention Cv
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550
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Attention Cnn
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550
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
Text Classification Pytorch
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538
Text classification using deep learning models in Pytorch
Long Range Arena
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537
Long Range Arena for Benchmarking Efficient Transformers
Punctuator2
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532
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Chinesenre
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523
中文实体关系抽取,pytorch,bilstm+attention
Exbert
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516
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Emanet
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507
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Attentiondeepmil
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507
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Seq2seq
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502
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
Draw
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501
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
Tab Transformer Pytorch
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498
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Attentionocr
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488
Scene text recognition
Medical Transformer
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484
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Ban Vqa
⭐
478
Bilinear attention networks for visual question answering
Attn2d
⭐
475
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Self Attention Gan Tensorflow
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468
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
Keras_cv_attention_models
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466
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,effi alias kecam
Neural_sp
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466
End-to-end ASR/LM implementation with PyTorch
Rnn Nlu
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454
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Classifier Multi Label
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446
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
Mac Network
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445
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Scan
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442
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Knowledge_graph_attention_network
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434
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Bigbird
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433
Transformers for Longer Sequences
Attention_keras
⭐
429
Keras Layer implementation of Attention for Sequential models
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