Official Code for paper "FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction" (RecSys 2024)

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

The fastai book, published as Jupyter Notebooks

A list of awesome papers and resources of recommender system on large language model (LLM).

A configurable, tunable, and reproducible library for CTR prediction

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pytorch tutorial for beginners

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

最简单的魔改发布『 合成大西瓜 』，不用改代码，修改配置即可！

Differentiable architecture search for convolutional and recurrent networks

Implementation and experiments of graph embedding algorithms.

知识图谱编辑系统，可以实现对知识图谱的增删改查，另外构建了专业领域（计算机）领域的知识图谱

Pytorch for Deep Reinforcement Learning

基于SpringCloud2.1的微服务开发脚手架，整合了spring-security-oauth2、nacos、feign、sentinel、springcloud-gateway等。服务治理方面引入elasticsearch、skywalking、springboot-admin、zipkin等，让项目开发快速进入业务开发，而不需过多时间花费在架构搭建上。持续更新中

基于Pytorch和torchtext的自然语言处理深度学习框架，包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块，已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致…

Data of ACL 2019 Paper "Expressing Visual Relationships via Language".

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。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Factorization Machine models in PyTorch

数据科学的笔记以及资料搜集

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）