6723 Open source projects that are alternatives of or similar to Poetry Seq2seq

Implementation of Neural Image Captioning model using Keras with Theano backend

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

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

文本情感分析

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Neural Turing Machines (NTM) - PyTorch Implementation

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Automatically generate headlines to short articles

Sequence to Sequence Models with PyTorch

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

keras를 이용한 딥러닝 기초 학습

Another attempt to use Deep-Learning in the financial markets

The Official Deep Learning Framework for Route-based Place Recognition

Generating Dance steps for given music with deep learning

Some interesting TensorFlow tutorials for beginners.

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

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

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

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

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

TensorFlow Tutorial for Time Series Prediction

Chatbot in 200 lines of code using TensorLayer

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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.

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

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

Sequence to sequence learning with MXNET

LSTM-CRF for NER with ConLL-2002 dataset

Sorting numbers with pointer networks

Action recognition using soft attention based deep recurrent neural networks

Application of machine learning to the Coinbase (GDAX) orderbook

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

Important paper implementations for Question Answering using PyTorch

copper price(time series) prediction using bpnn and lstm

A Tensorfflow implementation of Attend, Infer, Repeat

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

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Neural machine translator for English2German translation.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Datasets, tools, and benchmarks for representation learning of code.

CNN, LSTM, NBOW, fasttext 中文文本分类

Char-level RNN LSTM text generator📄.

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

The deeplearning algorithms implemented by tensorflow

Word Embedding + LSTM + FC

🔍 Attentional interfaces in TensorFlow.

Detecting emotions using MFCC features of human speech using Deep Learning

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

LSTM and GRU in PyTorch

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS