gerrylin
Follow
Stars
A Survey of Reinforcement Learning for Large Reasoning Models
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Natural Language Processing with Transformers 中译本，最权威Transformers教程
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A TensorFlow Implementation of the Transformer: Attention Is All You Need
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
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
📡 Simple and ready-to-use tutorials for TensorFlow
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Best Practices on Recommendation Systems
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
TensorFlow tutorials and best practices.