All Projects → zygmuntz → Pointer Networks Experiments

zygmuntz / Pointer Networks Experiments

Licence: bsd-2-clause
Sorting numbers with pointer networks

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Pointer Networks Experiments

Deep Time Series Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Stars: ✭ 183 (+245.28%)
Mutual labels:  lstm, attention, seq2seq
Chinese Chatbot
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。
Stars: ✭ 124 (+133.96%)
Mutual labels:  lstm, attention, seq2seq
Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
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
Stars: ✭ 33 (-37.74%)
Mutual labels:  lstm, seq2seq, attention
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+6349.06%)
Mutual labels:  lstm, attention, seq2seq
dhs summit 2019 image captioning
Image captioning using attention models
Stars: ✭ 34 (-35.85%)
Mutual labels:  lstm, attention
dts
A Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+145.28%)
Mutual labels:  lstm, seq2seq
Encoder decoder
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Stars: ✭ 269 (+407.55%)
Mutual labels:  attention, seq2seq
Stock Prediction Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+8692.45%)
Mutual labels:  lstm, seq2seq
ntua-slp-semeval2018
Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+49.06%)
Mutual labels:  lstm, attention
Seq2seq Summarizer
Pointer-generator reinforced seq2seq summarization in PyTorch
Stars: ✭ 306 (+477.36%)
Mutual labels:  attention, seq2seq
Text Classification Keras
📚 Text classification library with Keras
Stars: ✭ 53 (+0%)
Mutual labels:  lstm, attention
Neural sp
End-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+669.81%)
Mutual labels:  attention, seq2seq
RNNSearch
An implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (-18.87%)
Mutual labels:  seq2seq, attention
2D-LSTM-Seq2Seq
PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.
Stars: ✭ 25 (-52.83%)
Mutual labels:  lstm, seq2seq
lstm-math
Neural network that solves math equations on the character level
Stars: ✭ 26 (-50.94%)
Mutual labels:  lstm, seq2seq
Crnn attention ocr chinese
CRNN with attention to do OCR,add Chinese recognition
Stars: ✭ 315 (+494.34%)
Mutual labels:  lstm, attention
Nlp Tutorials
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Stars: ✭ 394 (+643.4%)
Mutual labels:  attention, seq2seq
Vad
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Stars: ✭ 622 (+1073.58%)
Mutual labels:  lstm, attention
Banglatranslator
Bangla Machine Translator
Stars: ✭ 21 (-60.38%)
Mutual labels:  lstm, attention
fiction generator
Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-49.06%)
Mutual labels:  lstm, seq2seq

Pointer networks experiments

Code for genereting data, training and testing. There are two tasks: ordering single numbers, or sums or numbers (the _sums suffix).

The training scripts save model weights each epoch. When started, they attempt to load appropriate weights - corresponding to the hidden size and the chosen number of steps in a sequence.

This software builts upon https://github.com/keon/pointer-networks.

Using Keras 2? Try the keras-2.0 branch.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].