177 Open source projects that are alternatives of or similar to Fluence

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

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

End-to-end ASR/LM implementation with PyTorch

Summary of Transformer applications for computer vision tasks.

list of efficient attention modules

Pointer-generator reinforced seq2seq summarization in PyTorch

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

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

中文实体关系抽取，pytorch，bilstm+attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

Image captioning using attention models

研读顶会论文，复现论文相关代码

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

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

CRNN with attention to do OCR,add Chinese recognition

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

Deep Modular Co-Attention Networks for Visual Question Answering

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Residual Attention Network for Image Classification

Visualization for simple attention and Google's multi-head attention.

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

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

A Structured Self-attentive Sentence Embedding

Generative Adversarial Transformers

[CVPR2020] "Detecting Attended Visual Targets in Video"

Tensorflow implementation of attention mechanism for text classification tasks.

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.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Implementation of papers for text classification task on DBpedia

Implementation of State-of-the-art Text Classification Models in Pytorch

A Keras Implementation of Attention_based Siamese Manhattan LSTM

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

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

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Bangla Machine Translator

Transformer implemented in Keras

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

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

📚 Text classification library with Keras

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

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

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

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

一些不同的Attention机制代码

PyTorch implementation of some attentions for Deep Learning Researchers.

Semantic Aware Attention Based Deep Object Co-segmentation

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

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!

Bilinear attention networks for visual question answering

Sorting numbers with pointer networks

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

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

A Tensorflow implementation of Spatial Transformer Networks.

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)