945 Open source projects that are alternatives of or similar to Easy Bert

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

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

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

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

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Language, Knowledge, Cognition

Compendium of the resources available from top NLP conferences.

A fast, efficient universal vector embedding utility package.

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

The implementation of DeBERTa

This Word Does Not Exist

This repo contains implementation of different architectures for emotion recognition in conversations.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

NLP library designed for reproducible experimentation management

Simple downloader for pre-trained word vectors

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

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Cornell Instruction Following Framework

An algorithm to augment syntactic hierarchy into word embeddings

Pre-trained Mongolian BERT models

Machine Reading Comprehension in Tensorflow

Detect the sentiment captured in short pieces of text

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

ConvAI baseline solution

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

Named Entity Recognition

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

🏇 聊天机器人，自然语言理解，语义理解

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Sequence to sequence learning using TensorFlow.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

A collection of notebooks for Natural Language Processing from NLP Town

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

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

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

Natural Language Processing Best Practices & Examples

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

🚁 保险行业语料库，聊天机器人

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

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

💫 Automated codification of Greek Legislation with NLP

Arabic support for textblob

Data-centric declarative deep learning framework

TensorFlow code and pre-trained models for BERT

Models and Pipelines for the Spark NLP library

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Electra pre-trained model using Vietnamese corpus

PyTorch Implementation of OpenAI GPT-2

Multi-Task Deep Neural Networks for Natural Language Understanding

A Greek edition of BERT pre-trained language model

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

My Reading Lists of Deep Learning and Natural Language Processing