HUANG RUI's starred repositories
publications
The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
flying-python
How to write fast and efficient Python code.
Hawkes-Process-Toolkit
A toolbox of Hawkes processes
hip-popularity
This repo contains data, source code and other ressources related to the HIP model for online popularity of YouTube videos.
Event-Driven-RL
The implementation of event-driven RL
hawkesbook
[Python Package] Code from 'The Elements of Hawkes Processes' Book
Spatio-Temporal-Point-Process-Simulator
A Spatio-temporal point process simulator.
MCEM-Univariate-Hawkes
A Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
awesome-ml4tpp
Awesome machine learning for temporal point processes papers.
ERPP-RMTPP
A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
TemporalPointProcessPapers
Paper lists for Temporal Point Process
PointProcesses
Basics of point processes using python for simulation
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
DataScienceStudyNotes
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
paper-reading
深度学习经典、新论文逐段精读
C-CppLearning
C语言与C++学习