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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Machine learning, in numpy
External Attention Pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Attention Is All You Need Pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
all kinds of text classification models and more with deep learning
End-to-End Speech Processing Toolkit
TensorFlow Neural Machine Translation Tutorial
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Scenic: A Jax Library for Computer Vision Research and Beyond
Graph Neural Networks with Keras and Tensorflow 2.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
A Pytorch Tutorial To Image Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Reformer, the efficient Transformer, in Pytorch
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Self Attention Gan
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
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!
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
🔥🔥🔥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🚀
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
The implementation of DeBERTa
Chinese Text Classification Pytorch
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Dual Attention Network for Scene Segmentation (CVPR2019)
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
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.
Pytorch library for fast transformer implementations
Hopfield Networks is All You Need
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Unet Segmentation Pytorch Nest Of Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Deep Learning Architecture Genealogy Project
Generative Adversarial Transformers
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Attention Gated Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
PyTorch Implementation of "Attention Is All You Need"
Text classifier for Hierarchical Attention Networks for Document Classification
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
Visual Attention based OCR
Test data editor for Robot Framework
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
An implementation of Performer, a linear attention-based transformer, in Pytorch
Django Form Implementation of the Twitter-Bootstrap UI
Self Attention Gan
Awesome Fast Attention
list of efficient attention modules
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
Tf Rnn Attention
Tensorflow implementation of attention mechanism for text classification tasks.
Spatial Transformer Network
A Tensorflow implementation of Spatial Transformer Networks.
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Visualizing RNNs using the attention mechanism
Sequence to Sequence Models with PyTorch
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Minimalist NMT for educational purposes
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Implementation of papers for text classification task on DBpedia
🖺 OCR using tensorflow with attention
Deep Reinforcement Learning For Sequence to Sequence Models
Bottom Up Attention Vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
Keras Self Attention
Attention mechanism for processing sequential data that considers the context for each timestamp.
Tensorflow Implementation of R-Net
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Transformer training code for sequential tasks
Self Attention Cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
Text Classification Pytorch
Text classification using deep learning models in Pytorch
Long Range Arena
Long Range Arena for Benchmarking Efficient Transformers
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
Tab Transformer Pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Scene text recognition
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Bilinear attention networks for visual question answering
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Self Attention Gan Tensorflow
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,effi alias kecam
End-to-end ASR/LM implementation with PyTorch
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Classifier Multi Label
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
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Transformers for Longer Sequences
Keras Layer implementation of Attention for Sequential models
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