152 Open source projects that are alternatives of or similar to Macbert

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

A library & tools to evaluate predictive language models.

package lingo provides the data structures and algorithms required for natural language processing

Get protein embeddings from protein sequences

Language Model that makes you Laugh .

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

A curated list of pretrained sentence and word embedding models

Boilerplate code for quickly getting set up to run language modeling experiments

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Quantize weights and activations in Recurrent Neural Networks.

基于Pytorch和torchtext的自然语言处理深度学习框架。

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Pytorch library for end-to-end transformer models training, inference and serving

An opensource speech-to-text software written in tensorflow

PyTorch Implementation of OpenAI GPT-2

A Dutch RoBERTa-based language model

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.

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

curated collection of papers for the nlp practitioner 📖👩‍🔬

Natural language detection package in pure Go

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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

Empower Sequence Labeling with Task-Aware Language Model

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

TensorFlow GAN implementation using Gumbel Softmax

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Transformer language model (GPT-2) with sentencepiece tokenizer

A Greek edition of BERT pre-trained language model

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

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

Library to scrape and clean web pages to create massive datasets.

Indonesian Language Models and its Usage

Implementation of Dynamic memory networks plus in Pytorch

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

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

Electra pre-trained model using Vietnamese corpus

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Top-k Approximate String Matching.

BERT-based Multilingual Model for Indian Languages

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

Load GPT-2 checkpoint and generate texts

C++ Implementation of PyTorch Tutorials for Everyone

LSTM and QRNN Language Model Toolkit for PyTorch

Self-contained Machine Learning and Natural Language Processing library in Go

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

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Implementation of XLNet that can load pretrained checkpoints

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

A Python wrapper for Kaldi

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

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.

XLNet for generating language.

Language Modeling

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

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