837 Open source projects that are alternatives of or similar to semantic-document-relations

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

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

GroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)

Natural Language Processing Tutorial for Deep Learning Researchers

pytorch implementation of the TwinBert paper

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

SImple SenTence EmbeddeR

KitanaQA: Adversarial training and data augmentation for neural question-answering models

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Document classification using Latent semantic analysis in python

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

State of the Art Natural Language Processing

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

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

Rank 1 / 216

Abstractive and Extractive Text summarization using Transformers.

XPersona: Evaluating Multilingual Personalized Chatbot

Google AI 2018 BERT pytorch implementation

text generation based on transformer

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

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

Transformer related optimization, including BERT, GPT

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Contextualised Embeddings and Language Modelling using BERT and Friends using R

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

CLUE baseline pytorch CLUE的pytorch版本基线

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

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

Deep Learning Transformer models in MATLAB

Code for the paper "Are Sixteen Heads Really Better than One?"

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Library Card Platform for The Wikipedia Library

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Using XLNet as Embedding of Keras

📖 Korean NLU Benchmark

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

Unofficial implementation of MaX-DeepLab for Instance Segmentation

code and supplementary materials for a series of Medium articles about the BERT model

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

A PyTorch-based toolkit for natural language processing

This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Summary of Transformer applications for computer vision tasks.

Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector

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

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

download document from book118 for free

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Generic business document validation engine