Pinned Repositories
active-RL
active learning for sequence-to-sequence model using RL
algorithms
Minimal examples of data structures and algorithms in Python
ant-design
🌈 A UI Design Language
APICloud-App-Templates
APICloud应用案例源码合集,收集一些优秀的基于 APICloud 技术开发的应用模板,欢迎更多的开发者共享优质模板。
Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
MTER
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
SAER
Explanation as a Defense of Recommendation (WSDM '21)
The-FacT--Sigir2019
The FacT: Taming Latent Factor Models for Explainability with Factorization Tree
UGE-Unbiased-Graph-Embedding
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
MyTHWN's Repositories
MyTHWN/MTER
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
MyTHWN/UGE-Unbiased-Graph-Embedding
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
MyTHWN/SAER
Explanation as a Defense of Recommendation (WSDM '21)
MyTHWN/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
MyTHWN/awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
MyTHWN/Bandit-Randomization-Algorithms
This is the project for my Google summer 2020 research internship.
MyTHWN/BanditLib
Library of contextual bandits algorithms
MyTHWN/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
MyTHWN/CORe-Capitalizing-On-Rewards-in-Bandit-Exploration
This is the code for "CORe: Capitalizing On Rewards in Bandit Exploration" accepted to UAI'21
MyTHWN/cross-domain-recommendation
cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
MyTHWN/DA-Transformer
Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"
MyTHWN/deep-translator
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
MyTHWN/deepwalk
DeepWalk - Deep Learning for Graphs
MyTHWN/EasyNMT
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
MyTHWN/iml-2022
UVa CS 4501/6501 Interpretable Machine Learning
MyTHWN/Llama-2
All the projects related to Llama
MyTHWN/LLM4Rec
Papers and resources on Large Language Models for Recommendation
MyTHWN/LLMSurvey
A collection of papers and resources related to Large Language Models.
MyTHWN/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
MyTHWN/NetMF
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
MyTHWN/NRT-theano
Code for our SIGIR'2017 paper "Neural Rating Regression with Abstractive Tips Generation for Recommendation"
MyTHWN/Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
MyTHWN/openai-cookbook
Examples and guides for using the OpenAI API
MyTHWN/recommenders
Best Practices on Recommendation Systems
MyTHWN/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
MyTHWN/tesserae
A large scale feature extraction tool for text-based machine learning
MyTHWN/wasserstein_fairness
An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.
MyTHWN/wowchemy-hugo-themes
🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, easily build with blocks! 创建在线课程,学术简历或初创网站。#OpenScience
MyTHWN/XAI-Human-Nature
Explainable AI: From Human to Nature
MyTHWN/XRec
Models for explainable recommendation.