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

Build conversation Seq2Seq models with TensorFlow

Exploring Neural Text Simplification

Minimalist NMT for educational purposes

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

An implementation of RNNsearch using TensorFlow

An AI chatbot using seq2seq

End-to-end ASR/LM implementation with PyTorch

Deep Learning for Computer Vision (CommE 5052) in NTU

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

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

Sequence-to-Sequence Framework in PyTorch

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

CakeChat: Emotional Generative Dialog System

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

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

Tensorflow based Neural Conversation Models

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

Embedding模型代码和学习笔记总结

Multiple implementations for abstractive text summurization , using google colab

No description or website provided.

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

Neural network that solves math equations on the character level

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

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

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

Implementation of FontRNN [Computer Graphics Forum, 2019].

Pytorch seq2seq chatbot

A simple open domain generative based chatbot based on Recurrent Neural Networks

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

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

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

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

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

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

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 PyTorch Implementation of "Attention Is All You Need"

A minimal nmt example to serve as an seq2seq+attention reference.

Pointer-generator reinforced seq2seq summarization in PyTorch

Gathers Tensorflow deep learning models.

Sequence to Sequence Models with PyTorch

This repository contains a new adversarial training method for Generative Conversational Agents

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。

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

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

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

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

PyTorch port of the paper "Language to Logical Form with Neural Attention"

Sequence to sequence learning with MXNET

Links to the implementations of neural conversational models for different frameworks

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

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