695 Open source projects that are alternatives of or similar to Pointer Networks Experiments

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

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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。

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

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

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

A neural network that transforms a design mock-up into a static website.

seq2seq attention tensorflow textrank context

📚 Text classification library with Keras

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

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

Machine learning, in numpy

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Bangla Machine Translator

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

A PyTorch Implementation of "Attention Is All You Need"

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

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

An implementation of attention-based neural machine translation using Pytorch

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

A Keras library for multi-step time-series forecasting.

Image captioning using attention models

Pointer-generator reinforced seq2seq summarization in PyTorch

CRNN with attention to do OCR,add Chinese recognition

Multi-turn dialogue baselines written in PyTorch

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

CNN, LSTM, NBOW, fasttext 中文文本分类

document classification using LSTM + self attention

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

End-to-end ASR/LM implementation with PyTorch

nlp lecture-notes and source code

Attention-based multimodal fusion for sentiment analysis

News summarization using sequence to sequence model with attention in TensorFlow.

Chinese Poetry Generation

Natural Language Processing with TensorFlow, published by Packt

Implementation of papers for text classification task on DBpedia

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Neural network that solves math equations on the character level

Enhanced BiLSTM Inference Model for Natural Language Inference

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

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

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

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

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

QA - Answer Selection (Rank candidate answers for a given question)

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

A Natural Language Toolkit for Indian Languages

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

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