Nan Wang's repositories
UGE-Unbiased-Graph-Embedding
This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
Bandit-Randomization-Algorithms
This is the project for my Google summer 2020 research internship.
BanditLib
Library of contextual bandits algorithms
chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
CORe-Capitalizing-On-Rewards-in-Bandit-Exploration
This is the code for "CORe: Capitalizing On Rewards in Bandit Exploration" accepted to UAI'21
cross-domain-recommendation
cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
DA-Transformer
Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"
deep-translator
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
EasyNMT
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
iml-2022
UVa CS 4501/6501 Interpretable Machine Learning
Llama-2
All the projects related to Llama
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
LLMSurvey
A collection of papers and resources related to Large Language Models.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
NRT-theano
Code for our SIGIR'2017 paper "Neural Rating Regression with Abstractive Tips Generation for Recommendation"
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
openai-cookbook
Examples and guides for using the OpenAI API
OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
recommenders
Best Practices on Recommendation Systems
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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
XAI-Human-Nature
Explainable AI: From Human to Nature
XRec
Models for explainable recommendation.