175 Open source projects that are alternatives of or similar to Deepcorrect

Sequence to sequence learning using TensorFlow.

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

Neural conversational model in Torch

[unmaintained]

Tutorials for TensorFlow APIs the official documentation doesn't cover

enhance seq2seq model for open ended dialog generation

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

A model to transform english into Cypher queries, based off the CLEVR-graph dataset

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

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

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Pytorch NLP library based on FastAI

DeeCamp 2018，AI有嘻哈 自动写歌词

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

PyTorch Implementation of NBA game summary generator.

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

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

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

An open source framework for seq2seq models in PyTorch.

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

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

Sorting numbers with pointer networks

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

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

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

Links to the implementations of neural conversational models for different frameworks

Build conversation Seq2Seq models with TensorFlow

Minimalist NMT for educational purposes

An implementation of RNNsearch using TensorFlow

End-to-end ASR/LM implementation with PyTorch

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

Sequence-to-Sequence Framework in PyTorch

CakeChat: Emotional Generative Dialog System

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

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

Multiple implementations for abstractive text summurization , using google colab

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

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

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

Pytorch seq2seq chatbot

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

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

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

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

Pointer-generator reinforced seq2seq summarization in PyTorch

Sequence to Sequence Models with PyTorch

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。

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

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

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

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 learning with MXNET

Tensorflow seq2seq Implementation of Text Summarization.

DELTA is a deep learning based natural language and speech processing platform.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Sequence-to-Sequence learning using PyTorch