EXPLORE

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

Fast and Accurate ML in 3 Lines of Code

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

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

Open source annotation tool for machine learning practitioners.

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

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

TensorFlow code and pre-trained models for BERT

Learn how to develop, deploy and iterate on production-grade ML applications.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

🤗 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.