175 Open source projects that are alternatives of or similar to Hip Hop Seq2seq

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

Basic Seq2Seq, Attention, CopyNet

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Pointer-generator reinforced seq2seq summarization in PyTorch

An AI chatbot using seq2seq

End-to-end ASR/LM implementation with PyTorch

Links to the implementations of neural conversational models for different frameworks

Play couplet with seq2seq model. 用深度学习对对联。

Exploring Neural Text Simplification

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

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

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

Minimalist NMT for educational purposes

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

Sequence to Sequence Models with PyTorch

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

Sequence-to-Sequence Framework in PyTorch

Text summarization using seq2seq in Keras

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

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Multiple implementations for abstractive text summurization , using google colab

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

Tensorflow seq2seq Implementation of Text Summarization.

Deep Learning for Computer Vision (CommE 5052) in NTU

Pytorch seq2seq chatbot

This repository contains a new generative model of chatbot based on seq2seq modeling.

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

seq2seq中文聊天机器人

[unmaintained]

Tutorials for TensorFlow APIs the official documentation doesn't cover

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

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

Pytorch NLP library based on FastAI

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

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

Sequence to sequence learning using TensorFlow.

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

enhance seq2seq model for open ended dialog generation

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

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

Implementation of seq2seq word-level model using keras

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Auto Segmentation Criterion (ASG) implemented in pytorch

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

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

Neural conversational model in Torch

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

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

Sequence-to-Sequence learning using PyTorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

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

Question answering system developed using seq2seq and memory network model in Keras

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Generating bash command from natural language https://arxiv.org/abs/1802.08979