SuperMousse

Home Page: Reco System; Graph Neural Network; Person Re-ID

Pinned Repositories

Ad-papers
Papers on Computational Advertising
Language:Python00
Ads-RecSys-Datasets
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
Language:Python0 1 00
AlignedReID-Re-Production-Pytorch
Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
Language:Python0 1 00
Auto-ReID-and-Others
Auto-ReID and Other Person Re-Identification Projects
Language:Jupyter Notebook0 1 00
AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Language:Python00
awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
0 1 00
awesome-deep-learning-papers
The most cited deep learning papers
Language:TeX0 2 00
Interview
Interview
Language:C++60
PaddleRec
大规模推荐模型训练工具
Language:Python10
RecBole
A unified, comprehensive and efficient recommendation library
Language:Python1 1 00

SuperMousse's Repositories

SuperMousse/Interview
Interview
Language:C++60
SuperMousse/PaddleRec
大规模推荐模型训练工具
Language:Python10
SuperMousse/RecBole
A unified, comprehensive and efficient recommendation library
Language:Python1 1 00
SuperMousse/Ads-RecSys-Datasets
This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
Language:Python0 1 00
SuperMousse/AutoFIS
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Language:Python00
SuperMousse/awesome-knowledge-graph
整理知识图谱相关学习资料
SuperMousse/awesome-knowledge-graph-1
A collection of research on knowledge graphs
SuperMousse/Awesome-Visual-Captioning
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
SuperMousse/Background-Matting
Background Matting: The World is Your Green Screen
SuperMousse/CLIP
Contrastive Language-Image Pretraining
SuperMousse/coder2gwy
互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。
SuperMousse/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
Language:Python1 0
SuperMousse/DeepMatch
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.
SuperMousse/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
SuperMousse/euler
A distributed graph deep learning framework.
Language:C++1 0
SuperMousse/gbnet
Bridging Knowledge Graphs to Generate Scene Graphs, ECCV 2020
SuperMousse/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
SuperMousse/HoudiniHowtos
Houdini recipe files repository.
Language:Python1 0
SuperMousse/how-to-write-makefile
跟我一起写Makefile重制版
SuperMousse/K-BERT
Source code of K-BERT (AAAI2020)
SuperMousse/KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
SuperMousse/kkndme_tianya
天涯 kkndme 神贴聊房价
SuperMousse/MHGRN
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
SuperMousse/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Language:Jupyter Notebook1 0
SuperMousse/resume
Chaoqun Lin's Home Page
Language:HTML
SuperMousse/stable-diffusion
A latent text-to-image diffusion model
Language:Jupyter Notebook0 0
SuperMousse/stable-diffusion-webui
Stable Diffusion web UI
Language:Python0 0
SuperMousse/system_architect
:100:高质量、最全面、完全免费的系统架构设计师（软考高级）备考资源库。可加①群：746552968，②群：1087700294，③群：128773281（纯备考群，不是培训群）。
SuperMousse/vilbert-multi-task
Multi Task Vision and Language
SuperMousse/VL-BERT
Code for the paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Language:Jupyter Notebook1 0