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✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Blazing-fast query execution engine speaks Apache Spark language and has Arrow-DataFusion at its core.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the …
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
Google Research
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
A PyTorch Library for Multi-Task Learning
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Must-read Papers for Recommender Systems (RS)
Models, data loaders and abstractions for language processing, powered by PyTorch
Library of various Few-Shot Learning frameworks for text classification
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta
基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）
基于Pytorch的文本分类框架，支持TextCNN、Bert、Electra等。
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
Must-read papers on graph neural networks (GNN)
手写实现李航《统计学习方法》书中全部算法
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is a repository of public data sources for Recommender Systems (RS).
My blogs and code for machine learning. http://cnblogs.com/pinard