attention

Machine learning, in numpy

Natural Language Processing Tutorial for Deep Learning Researchers

A PyTorch implementation of the Transformer model in "Attention is All You Need".

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Draw a leader line in your web page.

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

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!

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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.

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Generative Adversarial Transformers

Scenic: A Jax Library for Computer Vision Research and Beyond

A Tensorflow implementation of Spatial Transformer Networks.

👊 Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

list of efficient attention modules

An implementation of Performer, a linear attention-based transformer, in Pytorch

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

Tensorflow implementation of attention mechanism for text classification tasks.

Implementation of papers for text classification task on DBpedia

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

中文实体关系抽取，pytorch，bilstm+attention

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Code for our CVPR2021 paper coordinate attention