620 Open source projects that are alternatives of or similar to transformer

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

Sequence to sequence learning using TensorFlow.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

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

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

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Neural Machine Translation with Keras

Minimalist NMT for educational purposes

Zero -- A neural machine translation system

A PyTorch Implementation of "Attention Is All You Need"

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Chinese Poetry Generation

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A TensorFlow Implementation of the Transformer: Attention Is All You Need

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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

Embedding模型代码和学习笔记总结

Witwicky: An implementation of Transformer in PyTorch.

Sequence-to-Sequence learning using PyTorch

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

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

Using LSTM or Transformer to solve Image Captioning in Pytorch

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

Explains nlp building blocks in a simple manner.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

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

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

An implementation of RNNsearch using TensorFlow

End-to-end ASR/LM implementation with PyTorch

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

pytorch implementation of Attention is all you need

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

list of efficient attention modules

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

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

Multi-turn dialogue baselines written in PyTorch

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

A simple TensorFlow implementation of the Transformer

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Transformers without Tears: Improving the Normalization of Self-Attention

Beam search for neural network sequence to sequence (encoder-decoder) models.

An Implementation of Transformer (Attention Is All You Need) in DyNet

Translating English sentences to Marathi using Neural Machine Translation

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

An implementation of attention-based neural machine translation using Pytorch

Several basic neural machine translation models implemented by PyTorch & TensorFlow

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Sequence-to-Sequence Framework in PyTorch

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 machine translation implementation using dynet's python bindings

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.