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500lines

500 Lines or Less

aaai-20-co-gcn

A simple implement of Co-GCN

adaptive_graph_diffusion_networks_with_hop-wise_attention

ai-job-recommend

国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

anime-recommender-system

Using anime data to build various type of recommender systems.

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attentive-collaborative-filtering

Attentive Collaborative Filtering - Pytorch

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

behaviour-seq-transformer

Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.

bigdata

💎🔥大数据学习笔记

catgcn

CatGCN: Graph Convolutional Networks with Categorical Node Features, TKDE.

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

completion

compute-features

Computes features for images using various pretrained Tensorflow models

cross-gcn

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions

cross_modal_gcn

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

deep-hoseq--icdm-2020

Deep-HOSeq: Deep Higher-Order Sequence Fusion for Multimodal Sentiment Analysis.

deoscirec

Deoscillated Graph Collaborative Filtering

dgcf_torch

Pytorch implementation of DGCF

dianping_textmining

大众点评评论文本挖掘，包括点评数据爬取、数据清洗入库、数据分析、评论情感分析等的完整挖掘项目

disenkgat

dm-competition-getting-started

数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践

dmgcf

dualgnn

DualGNN: Dual Graph Neural Network for Micro-video Recommendation

ecommercerecommendsystem

商品大数据实时推荐系统。前端：Vue + TypeScript + ElementUI，后端 Spring + Spark

enmf

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

experiment

实验碰到的bug