345 Open source projects that are alternatives of or similar to Keras Bert

text generation based on transformer

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

Natural language detection package in pure Go

XLNet for generating language.

Language model finetuning on NER with an easy interface, and cross-domain evaluation. We released NER models finetuned on various domain via huggingface model hub.

BERT, LDA, and TFIDF based keyword extraction in Python

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

My Reading Lists of Deep Learning and Natural Language Processing

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

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

State of the Art Natural Language Processing

A Lite Bert For Self-Supervised Learning Language Representations

Mapping a variable-length sentence to a fixed-length vector using BERT model

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Naver movie review sentiment classification with KoBERT

Super easy library for BERT based NLP models

A library & tools to evaluate predictive language models.

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

A C++ library providing fast language model queries in compressed space.

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Open tools and data for cloudless automatic speech recognition

Quantize weights and activations in Recurrent Neural Networks.

Korean GPT-2 pretrained cased (KoGPT2)

Multi-Task Deep Neural Networks for Natural Language Understanding

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

Get protein embeddings from protein sequences

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

pycorrector is a toolkit for text error correction. 文本纠错，Kenlm，Seq2Seq_Attention，BERT，MacBERT，ELECTRA，ERNIE，Transformer等模型实现，开箱即用。

An implementation of Google Brain's 2019 XLNet in PyTorch

Natural Language Processing Tutorial for Deep Learning Researchers

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

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

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

FewCLUE 小样本学习测评基准，中文版

Language Modeling

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

Indonesian Language Models and its Usage

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

Character-based word embeddings model based on RNN for handling real world texts

CLUE baseline pytorch CLUE的pytorch版本基线

language model in Chinese，基于Pytorch官方文档实现

🐍 Python library for n-gram models in ARPA format

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

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

Electra pre-trained model using Vietnamese corpus

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

Implementation of Dynamic memory networks plus in Pytorch

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.

Top-k Approximate String Matching.

Using VideoBERT to tackle video prediction

An opensource speech-to-text software written in tensorflow

Applied Deep Learning (2019 Spring) @ NTU

A Dutch RoBERTa-based language model

curated collection of papers for the nlp practitioner 📖👩‍🔬

GPT-2 French demo | Démo française de GPT-2

Optimus: the first large-scale pre-trained VAE language model

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.