liuying611's Stars
nikolakopoulos/RecWalk
Implementation of the RecWalk recommendation algorithm
szktkfm/RecWalk
RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. In The Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19),
Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
MaurizioFD/RecSys_Course_AT_PoliMi
⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.
samikhenissi/ExplainableMatrixFactorization
Implementation of the paper "Using Explainability for Constrained Matrix Factorization"
QuXiaolong0812/mkgcn
Multi-modal Knowledge Graph Convolutional Networks for Music Recommendation System
m-hildebrandt/R2D2
The repository for the paper Reasoning On Knowledge Graphs With Debate Dynamics
shehzaadzd/MINERVA
Meandering In Networks of Entities to Reach Verisimilar Answers
ceo21ckim/Awesome-Recsys
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
Ewenwan/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
resume/resume.github.com
Resumes generated using the GitHub informations
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
ScalaConsultants/Aspect-Based-Sentiment-Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
google/AFL
american fuzzy lop - a security-oriented fuzzer
aflgo/aflgo
Directed Greybox Fuzzing with AFL
NervJS/taro
开放式跨端跨框架解决方案,支持使用 React/Vue/Nerv 等框架来开发微信/京东/百度/支付宝/字节跳动/ QQ 小程序/H5/React Native 等应用。 https://taro.zone/