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NEZHA: Neural Contextualized Representation for Chinese Language Understanding
科大讯飞线下销量挑战赛top7方案
猫眼演唱会抢购软件，回流抢购监控抢购，猫眼抢票软件，猫眼科技 目前有效功能仅限回流抢票，库存监控抢票，二开监控抢票
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The state-of-the-art image restoration model without nonlinear activation functions.
Predicting neighborhoods' socioeconomic attributes using restaurant data (PNAS)
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
Food recommendation chatbot with LLM fine tuning. 2023 graduation project from Pusan Nat'l Univ.
This is a machine learning web app, which when executed, the client gets to choose a food item based on his own liking, and we recommend 10 more such similar foods through our recommendation system.
Food/Diet Recommendation system using machine learning
A collection of the books and papers on data science and machine learning.
基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Beyond Co-occurrence: Multi-modal Session-based Recommendation
Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.
SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling