hoang2306's Stars
tsmatz/reinforcement-learning-tutorials
Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)
vmayoral/basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
amitkaps/recommendation
Recommendation System using ML and DL
zuoxingdong/recsys_metrics
An efficient PyTorch implementation of the evaluation metrics in recommender systems.
ssui-liu/learnable-embed-sizes-for-RecSys
A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
yoongi0428/RecSys_PyTorch
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
emeryberger/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.
EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
HKUDS/DiffKG
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
HKUDS/RecLM
"RecLM: Recommendation Instruction Tuning"
Xiaohao-Liu/Bundle-MLLM
The implementation of "Fine-tuning Multimodal Large Language Models for Product Bundling", KDD'25
hoang-quoc-trung/remote-ssh-kaggle-vscode
Instructions for connecting SSH between Kaggle and Visual Studio Code
buidai123/Kaggle_VSCode_Remote_SSH
a way to SSH into Kaggle. If you don't like ngrok because of CC, checkout zrok branch which dose not require CC
qninhdt/uet-quiz
Bài tập trắc nghiệm cho người người nhà nhà cùng ôn
HKUDS/MixRec
[WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
HKUDS/AnyGraph
"AnyGraph: Graph Foundation Model in the Wild"
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Xiaohao-Liu/EliMRec
The implementation of paper "EliMRec: Eliminating single-modal bias in multimedia recommendation", MM'22.
cowjen01/repsys
Framework for Interactive Evaluation of Recommender Systems
Arngren/bayesian-ab-test
recombee/ELSA
Scalable Linear Shallow Autoencoder for Collaborative Filtering
TutteInstitute/datamapplot
Creating beautiful plots of data maps
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN
recombee/beeformer
Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems
USTC-StarTeam/Awesome-Large-Recommendation-Models
🔥🔥🔥 Latest Advances on Large Recommendation Models
openai/sparse_autoencoder
facebookresearch/generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
lucidrains/recurrent-memory-transformer-pytorch
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
patrick-kidger/jaxtyping
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/