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Cornucopia.AI's Projects

awesome-deeplearning-500faq icon awesome-deeplearning-500faq

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

cornucopia-llama-fin-chinese icon cornucopia-llama-fin-chinese

聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)

cornucopia-rag icon cornucopia-rag

Build context-aware reasoning workflows by Cornucopia LLM and RAG Q&A architecture

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

nlp-prompt icon nlp-prompt

基于prompt learning的NLP算法，涉及文本分类、信息抽取等

plm-nlp-code icon plm-nlp-code

《自然语言处理：基于预训练模型的方法》书的代码

text-cls icon text-cls

开源hub是基于Tensorflow2.x的文本分类、对抗训练、标签平滑、处理样本不均衡

xbert icon xbert

基于tensorflow2.x实现bert及其变体的预训练模型加载架构

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