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

Natural Language Processing with TensorFlow, published by Packt

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.

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)

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

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A cute multi-layer LSTM that can perform like a human 🎶

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

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Explains nlp building blocks in a simple manner.

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PyTorch tutorial for learners

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All my experiments with AI and ML

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

1st place solution

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

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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

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

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

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

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Stock Price Prediction using Machine Learning Techniques

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

All about Neural Networks!

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

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

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

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

Sentiment Analysis with LSTMs in Tensorflow

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Application of machine learning to the Coinbase (GDAX) orderbook

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

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。

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

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

copper price(time series) prediction using bpnn and lstm

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

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

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

CNN, LSTM, NBOW, fasttext 中文文本分类

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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.