1050 Open source projects that are alternatives of or similar to Tf Seq2seq

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

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

SLING - A natural language frame semantics parser

❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

PyTorch implementation of beam search decoding for seq2seq models

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Named Entity Recognition

Natural Language Processing Best Practices & Examples

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

💫 Automated codification of Greek Legislation with NLP

Detect the sentiment captured in short pieces of text

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Pre-trained Mongolian BERT models

Python tutorials as Jupyter Notebooks for NLP, ML, AI

ConvAI baseline solution

Cornell Instruction Following Framework

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

A list of NLP(Natural Language Processing) tutorials

Mapping a variable-length sentence to a fixed-length vector using BERT model

Multi-Task Deep Neural Networks for Natural Language Understanding

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

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

基于Pytorch的中文聊天机器人 集成BeamSearch算法

A curated list of NLP resources for Hungarian

A two-level morphological analyzer for Turkish.

Ruby SDK for Dialogflow

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

It is a question-generator model. It takes text and an answer as input and outputs a question.

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

State of the Art Natural Language Processing

Materials for deep NLP course

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

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

NLP made easy

Neural Models for Conversational AI

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Explains nlp building blocks in a simple manner.

Compendium of the resources available from top NLP conferences.

Chinese Poetry Generation

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

Open neural machine translation models and web services

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

TextBox is an open-source library for building text generation system.

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

No description or website provided.

Embedding模型代码和学习笔记总结

Using LSTM or Transformer to solve Image Captioning in Pytorch

Image captioning using attention models