595 Open source projects that are alternatives of or similar to Transformer_Temporal_Tagger

Embedding模型代码和学习笔记总结

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

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

Minimalist NMT for educational purposes

One Person, One Model, One World: Learning Continual User Representation without Forgetting

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

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.

News summarization using sequence to sequence model with attention in TensorFlow.

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

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

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

A PyTorch Implementation of "Attention Is All You Need"

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

text generation based on transformer

Multiple implementations for abstractive text summurization , using google colab

Sequence to sequence learning using TensorFlow.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Using LSTM or Transformer to solve Image Captioning in Pytorch

Neutron: A pytorch based implementation of Transformer and its variants.

Zero administration inference with AWS Lambda for 🤗

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

BERT for Multitask Learning

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

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

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

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

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

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

Multi-turn dialogue baselines written in PyTorch

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

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

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

Tensorflow seq2seq Implementation of Text Summarization.

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

A data set and model for german sentiment classification.

End-to-end ASR/LM implementation with PyTorch

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

Generate images from texts. In Russian

A Robustly Optimized BERT Pretraining Approach for Vietnamese

TensorFlow Implementation of Twitter Chatbot

SImple SenTence EmbeddeR

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Dense video captioning in PyTorch

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

The elegant integration of huggingface/nlp and fastai2 and handy transforms using pure huggingface/nlp

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

Theano implementation of Sequence-to-Sequence Autoencoder

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

Sequence to Sequence Models in PyTorch