liuzh-buaa
A PhD student at Beihang University, focusing on data mining. My research interests include trustworthy AI and Bayesian neural networks.
Beihang University (BUAA)Beijing China
liuzh-buaa's Stars
WooooDyy/LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
yoshall/Awesome-Trajectory-Computing
A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
KindXiaoming/pykan
Kolmogorov Arnold Networks
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
LLMBook-zh/LLMBook-zh.github.io
《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
HKU-MedAI/bnn_uncertainty
[NeurIPS'23] Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
bowang-lab/MedSAM
Segment Anything in Medical Images
Lionelsy/Conference-Accepted-Paper-List
Some Conferences' accepted paper lists (including AI, ML, Robotic)
OI-wiki/OI-wiki
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
radandreicristian/traffic-datasets
A collection of datasets for traffic forecasting
chnsh/DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
asu-trans-ai-lab/DTALite
LibCity/Bigscity-LibCity-WebTool
LibCity Experiment Management and Visualization Web Tool
Kaleidophon/deep-significance
Enabling easy statistical significance testing for deep neural networks.
ShowMeAI-Hub/awesome-AI-courses-notes-cheatsheets
全球顶级高校AI课程知识点笔记与速查表
THUDM/CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
fengdu78/lihang-code
《统计学习方法》的代码实现
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
jankrepl/deepdow
Portfolio optimization with deep learning.
h16nning/typora-gitbook-theme
This is a Typora theme is inspired by gitbook.com. Most of the user interface has been overhauled. It contains three variants: two light variants and one dark theme.
pytorch/captum
Model interpretability and understanding for PyTorch
vucdinh/alg-net
uwdata/fast-kde
Fast, approximate Gaussian kernel density estimation.
xxradon/PytorchToCaffe
Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
XiaowenK/ImageNet_Pretrained