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CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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

Large Language Model Text Generation Inference

500 AI Machine learning Deep learning Computer vision NLP Projects with code

💫 Industrial-strength Natural Language Processing (NLP) in Python

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

TensorFlow code and pre-trained models for BERT

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

12 Weeks, 24 Lessons, AI for All!

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.