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Comprehensive Chinese NLP resource collection for developers
BERT - Pre-trained NLP models and TensorFlow code for natural language understanding
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
A tutorial for natural language processing (NLP) using deep learning frameworks like PyTorch and TensorFlow.
Easy-to-use and powerful LLM and SLM library with awesome model zoo for natural language processing.
Scalable embedding, reasoning, ranking for images and sentences with CLIP
This repository contains demos for the Transformers library by HuggingFace, a popular NLP and computer vision library.
Fast, state-of-the-art tokenizers optimized for research and production in AI/ML applications
Pre-trained Chinese BERT model with whole word masking, useful for natural language processing tasks.
Large-scale Chinese natural language processing corpus for training and fine-tuning language models
Bert-VITS2 is a Python library that implements the VITS2 backbone with multilingual-BERT for speech synthesis and text-to-speech applications.
BertViz is a Python library for visualizing attention in transformer models like BERT, GPT-2, and RoBERTa.
A Chinese version of the GPT-2 language model training code, using the BERT tokenizer.
A Python library for easily creating interpretable topics from text data using BERT and c-TF-IDF.
A PyTorch implementation of Google's BERT language model, a powerful tool for natural language processing tasks.
A high-performance C++ library for optimizing transformers like BERT and GPT for AI and machine learning applications.
This GitHub repository provides a comprehensive collection of TensorFlow 2.x tutorials and examples for AI/ML developers.
A curated collection of high-quality, pretrained Chinese NLP models for various tasks and applications.
A Keras implementation of the BERT transformer model for natural language processing tasks.
A Python library that provides various text embedding and similarity models, including Word2Vec, Sentence-BERT, and more.
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