Showing 21-40 of 100 projects
A Tensorflow solution for Named Entity Recognition (NER) using the BERT-BiLSTM-CRF model with BERT fine-tuning.
A repository that uses BERT and ERNIE to perform Chinese text classification, useful for vibe coders working with AI.
Must-read papers on prompt-based tuning for pre-trained language models.
CLUE is a comprehensive Chinese language understanding evaluation benchmark with datasets, baselines, pre-trained models, and a leaderboard.
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
A pre-trained ALBERT model for self-supervised learning of Chinese language representations.
A Chinese NLP solution with large models, data, training, and inference capabilities for developers.
A collection of articles on machine learning concepts and techniques by the author
A comprehensive collection of deep learning resources including courses, case studies, and interview questions.
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
A semantic router system for deploying and managing a mixture of AI models at the cloud, data center, and edge.
Top2Vec learns jointly embedded topic, document and word vectors for semantic search and topic modeling.
Open-source pre-training model framework in PyTorch with a pre-trained model zoo for natural language processing tasks.
A model library for exploring state-of-the-art deep learning techniques for optimizing NLP neural networks.
A unified library for parameter-efficient and modular transfer learning in NLP with BERT, LoRA, and Transformers.
A pre-trained RoBERTa language model for Chinese NLP tasks.
This repository contains a collection of NLP algorithm interview questions and notes.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
A Keras implementation of BERT for feature extraction and prediction tasks.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
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