zeyiwen
Assistant Professor at HKUST (Guangzhou)
Hong Kong University of Science and Technology (Guangzhou)China
zeyiwen's Stars
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
hehonghui/awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
oxnr/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
cpacker/MemGPT
Letta (fka MemGPT) is a framework for creating stateful LLM services.
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
windmaple/awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
dmlc/treelite
Universal model exchange and serialization format for decision tree forests
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
aikho/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
Xtra-Computing/FedTree
A tree-based federated learning system (MLSys 2023)
USC-Melady/Benchmarking_DL_MIMICIII
RC4ML/FpgaNIC
FpgaNIC is an FPGA-based Versatile 100Gb SmartNIC for GPUs
SonyResearch/COALA
COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
zzd1992/GBDTMO
Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
jjiantong/FastPGM
Fast Parallel Probabilistic Graphical Model Learning and Inference [IPDPS'22, PPoPP'23, USENIX ATC'24]
asrivast28/ramBLe
A Parallel Framework for Bayesian Learning
Kurt-Liuhf/absa-svm
GREYXXX/PSO-GBDT
JirehChan/2023PipelineRecommendation
PanHaulin/CFNPM
LarryHH/AIS_Data
ZhenyaZheng/Multimodal-Automated-Feature-construction
一个多模态自动特征构造工具