1883 Open source projects that are alternatives of or similar to Keras Attention

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

A Natural Language Toolkit for Indian Languages

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Named Entity Recognition using multilayered bidirectional LSTM

Data-centric declarative deep learning framework

Mapping a variable-length sentence to a fixed-length vector using BERT model

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Important paper implementations for Question Answering using PyTorch

How to build RNNs and LSTMs from scratch with NumPy.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Implementation of character based convolutional neural network

name entity recognition with recurrent neural network(RNN) in tensorflow

🔮Deep Learning for text made easy with AllenNLP

A Python package for gender classification.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

A Neural Network based Chatbot

Chainer implementation of Deepmind's Visual Attention Model paper

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

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

A curated list of awesome Distributed Deep Learning resources.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Sparse and structured neural attention mechanisms

Train and visualize Hierarchical Attention Networks

Machine Reading Comprehension in Tensorflow

HDLTex: Hierarchical Deep Learning for Text Classification

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

RMDL: Random Multimodel Deep Learning for Classification

A collection of Natural language processing pre-trained models.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Attention-based multimodal fusion for sentiment analysis

This is an open sourced book on deep learning.

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

A curated list of dedicated resources and applications

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

a simple and complete pytorch implementation of neural machine translation system

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Action recognition using soft attention based deep recurrent neural networks

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Deep neural models for core NLP tasks (Pytorch version)

⏰ AI conference deadline countdowns

Attention-guided CNN for image denoising(Neural Networks,2020)

The first public PyTorch implementation of Attentive Recurrent Comparators

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

ByteNet for character-level language modelling

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.