There are 26 repositories under seq2seq topic.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A neural network that transforms a design mock-up into a static website.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Play couplet with seq2seq model. 用深度学习对对联。
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Lingvo
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
1st place solution
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
An open source framework for seq2seq models in PyTorch.
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
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t5模型,支持GPT2进行文章续写。
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
An elegent pytorch implement of transformers
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
:art: 数学公式识别增强版:中英文手写印刷公式、支持初级符号推导(数据结构基于 LaTeX 抽象语法树)Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
tfts: Time Series Deep Learning Models in TensorFlow
Neural conversational model in Torch
Sequence to Sequence Models with PyTorch