Chaoyue He's starred repositories
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
one-person-businesses-methodology-v2.0
《一人企业方法论》第二版,也适合做其他副业(比如自媒体、电商、数字商品)的非技术人群。
torchmetrics
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Chat-Haruhi-Suzumiya
Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.
LLM4Rec-Awesome-Papers
A list of awesome papers and resources of recommender system on large language model (LLM).
MEGABYTE-pytorch
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
pytest-randomly
:game_die: Pytest plugin to randomly order tests and control random.seed
Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
CIKM2020-S3Rec
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
data-engineering
Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
RecBole2.0
An up-to-date, comprehensive and flexible recommendation library
BPR-pytorch
A pytorch implementation for BPR (Bayesian Personalized Ranking).
LLM-Next-Item-Rec
Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"