Seq2seq Open Source Projects

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

Natural Language Processing Tutorial for Deep Learning Researchers

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

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

all kinds of text classification models and more with deep learning

tensorflow实战练习，包括强化学习、推荐系统、nlp等

pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

TensorFlow Neural Machine Translation Tutorial

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Chatbot继续沿着LLM前进，近期更新小参数量SLM的和训练脚本，支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Sequence to Sequence Learning with Keras

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

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

Lingvo

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

1st place solution

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

CakeChat: Emotional Generative Dialog System

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

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

An open source framework for seq2seq models in PyTorch.

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：http://www.tensorflownews.com/

A list of NLP(Natural Language Processing) tutorials

An elegent pytorch implement of transformers

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。

: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).

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

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

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

TextBox 2.0 is a text generation library with pre-trained language models

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

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

Dynamic seq2seq in TensorFlow, step by step

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

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。

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.

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

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

算法工程师面试题整理

:four_leaf_clover: Another Chinese chatbot implemented in PyTorch, which is the sub-module of intelligent work order processing robot. 👩‍🔧

tfts: Time Series Deep Learning Models in TensorFlow

Vision-and-Language Navigation in Continuous Environments using Habitat

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

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

使用TensorFlow实现的Sequence to Sequence的聊天机器人模型

Neural conversational model in Torch

Deep Reinforcement Learning For Sequence to Sequence Models

Dataset for couplets. 70万条对联数据库。

Sequence to Sequence Models with PyTorch

Facebook chatbot that I trained to talk like me using Seq2Seq