bruno686 Goto Github PK

2021winter

record daily study in winter holiday

ai-research-tools

:hammer:AI 方向好用的科研工具

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

bruno686

personal profile

bruno686.github.io

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

data-science-cheatsheet

dcf

[KDD'24] Double Correction Framework for Denoising Recommendation

deeplearning

学习阶段代码

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gnn-in-rs

GNN in Recommendation System (ACM Computing Surveys 2022)

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks.

hfut_autosubmit

合肥工业大学今日校园疫情信息收集自动打卡签到Action

interview-experience

Interview experience and reflection of questions from major companies.

junior

大三下学期日常学习记录

mixmatch-pytorch

An implementation of MixMatch with PyTorch

mm_ood

Multi-media recommendation with OOD generalization

multitask

The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.

neu-review-rec

A Toolkit for Neural Review-based Recommendation models with Pytorch.

neurec

Next RecSys Library

ngcf-pytorch

A toy implementation of Neural Graph Collaborative filtering

nlp-phd-global-equality

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

plc_ours

probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

program-design

2020 study in summer

rec4co-teaching

recbole

A unified, comprehensive and efficient recommendation library

recommendation

大创项目阶段记录

review-based-recommender

Pytorch implementations of several review-based recommendation models. The repository currently contains the published DeepCoNN, NARRE, D-ATT, AHN, and a simple baseline SimpleSiamese

sand

[arXiv] Boosting Multimedia Recommendation via Separate Generic and Unique Awareness