Showing 41-60 of 100 projects
Texar is a toolkit for machine learning, NLP, and text generation in TensorFlow, part of the CASL project.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification.
A powerful BERT-based language model for natural language understanding and representation learning.
EasyNLP is an easy-to-use NLP toolkit for tasks like text classification, retrieval, and generation.
A Jupyter Notebook project that provides financial sentiment analysis using the BERT language model.
Official PyTorch implementation for a novel method to visualize classifications by Transformer based networks.
Super easy library for building BERT-based NLP models with FastAI and Transformers.
A one-key Chinese data augmentation package for NLP and BERT model training.
A Python library for computing BERT-based text generation evaluation metrics.
A comprehensive tutorial on using the Transformers library for various natural language processing tasks in Python.
Self-contained Machine Learning and Natural Language Processing library in Go
A curated collection of BERT and XLNet related papers, applications, and GitHub resources for NLP developers.
A comprehensive set of Keras-based NLP models for text classification, similarity, and more, with support for Chinese and English.
A benchmark for evaluating language understanding models and datasets for the Chinese language.
A repository focused on natural language processing, knowledge graphs, and conversational AI research and applications.
A powerful NLP library for transfer learning and building question answering systems.
GPT-2 multi-language pre-trained models, including a 1.5B parameter Chinese model, for text generation and NLP tasks.
A PyTorch-based toolkit for knowledge distillation in natural language processing tasks.
Swift Core ML 3 implementations of popular transformer models like GPT-2, BERT for question answering.
jiant is an NLP toolkit that provides pre-trained BERT models and tools for multi-task learning and transfer learning.
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