532 Open source projects that are alternatives of or similar to Attention Over Attention Tf Qa

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

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Query-Reduction Networks (QRN)

My Attempt(s) In The World Of ML/DL....

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BertQA - Attention on Steroids

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

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A Tensorfflow implementation of Attend, Infer, Repeat

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Tensorflow implementation of attention mechanism for text classification tasks.

Hierarchical Attention Networks for Chinese Sentiment Classification

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

2018-JDDC大赛第4名的解决方案

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

MO4 Coding Standard Rules for Codesniffer based on Symfony Coding Standards.

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

Docker image that provides static analysis tools for PHP

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

📷 A tool for generating BrowserStack screenshots from the command line.

PyTorch implementation of some attentions for Deep Learning Researchers.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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

Deep Learning neural network for correcting spelling

Sentiment Analysis with LSTMs in Tensorflow

Sequence to sequence learning with MXNET

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Sorting numbers with pointer networks

Boilerplate code for quickly getting set up to run language modeling experiments

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!

Data augmentation for NLP, presented at EMNLP 2019

Stagy is a tool for quick deployment of staging environments.

Real-time ADLs and Fall Detection implement TensorFlow

All about Neural Networks!

京东JData算法大赛-高潜用户购买意向预测

UI automation library for .Net

Adapter for NUnit 3 (generate HTML report for NUnit 3)

An implementation of RNN-RBM & GBRBM.

A Tensorflow implementation of Spatial Transformer Networks.

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

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The Official Deep Learning Framework for Route-based Place Recognition

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

Chatbot in 200 lines of code using TensorLayer

基于医药知识图谱的智能问答系统

研读顶会论文，复现论文相关代码

A Keras Implementation of Attention_based Siamese Manhattan LSTM

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

RNN based Time-series Anomaly detector model implemented in Pytorch.

Code for Tensorflow Machine Learning Cookbook

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Stock Price Prediction using Machine Learning Techniques

Implementation of papers for text classification task on DBpedia

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)