860 Open source projects that are alternatives of or similar to Deep News Summarization

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

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

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

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

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Lightweight C++11 library for building deep recurrent neural networks

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Tensorflow seq2seq Implementation of Text Summarization.

Bangla Machine Translator

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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

Image captioning using attention models

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

Multiple implementations for abstractive text summurization , using google colab

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

Named Entity Recognition with RNN, implemented by Chainer

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Sorting numbers with pointer networks

Image Captioning: Implementing the Neural Image Caption Generator with python

Application of machine learning to the Coinbase (GDAX) orderbook

Some of the ML and DL related reading materials, research papers that I've read

A Python package for gender classification.

Keras implementation of Legendre Memory Units

Embedding模型代码和学习笔记总结

Plain Stock Close-Price Prediction via Graves LSTM RNNs

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

🥕 Evolutionary Neural Networks in JavaScript

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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

Neural network that solves math equations on the character level

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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

Sequence to sequence learning using TensorFlow.

Anomaly detection implemented in Keras

List of papers, code and experiments using deep learning for time series forecasting

Named Entity Recognition using multilayered bidirectional LSTM

A bidirectional LSTM with attention for multiclass/multilabel text classification.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

The Official Deep Learning Framework for Route-based Place Recognition

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

A Natural Language Toolkit for Indian Languages

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Neural machine translator for English2German translation.

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

PyTorch tutorial for learners

Chinese Poetry Generation

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

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

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

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

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

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