Kay's repositories
Awesome-LM-RL
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Chengkai-Huang.github.io
A simple and elegant Jekyll theme for an academic personal homepage
covid19-sir
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
distill_cf
Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
dl_book
legend
drl-recsys
Deep Reinforcement Learning for Recommender Systems
EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
Fashion-Hash-Net
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
ICL_PaperList
Paper List for In-context Learning 🌷
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
llm-course
Course with a roadmap and notebooks to get into Large Language Models (LLMs).
matplotlib_template
This notebook is to develop a pipeline for generating plots using seaborn. Fig sizes/fonts/axises are tuned for paper submissions.
MMConv
Official repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"
Neu-Review-Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
ODE2VAE
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
PAI-BPR
Repository for PAI-BPR a state of the art Fashion recommendation system capturing user personal preference and attribute interpretability
poster_template
some academic posters as references. May we have in-person poster session soon!
ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
recsim
A Configurable Recommender Systems Simulation Platform
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
time-series-papers
An up-to-date list of time-series related papers in AI venues.
torchrec
Pytorch domain library for recommendation systems
WebShop
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents