Pinned Repositories
01_Temporal-Point-Process
This repository contains recent background materials, current works, and codes for researching in TPP.
0705_-Finance
Study resources for quantitative finance
0705_Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
0705_econ5170
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
0705_HPVol
Hawkes Process Volatility Modelling
0705_machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
0705_random-forest
Random Forest - a curated list of resources regarding random forest
0705_SystemicRisk
A framework for systemic risk valuation and analysis.
0705_var-hawkes
Learning Hawkes Processes from a Handful of Events
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Jzd04's Repositories
Jzd04/01_Temporal-Point-Process
This repository contains recent background materials, current works, and codes for researching in TPP.
Jzd04/0705_-Finance
Study resources for quantitative finance
Jzd04/0705_Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Jzd04/0705_econ5170
Econ5170@CUHK: Computational Methods in Economics (2020 Spring).
Jzd04/0705_HPVol
Hawkes Process Volatility Modelling
Jzd04/0705_machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
Jzd04/0705_random-forest
Random Forest - a curated list of resources regarding random forest
Jzd04/0705_SystemicRisk
A framework for systemic risk valuation and analysis.
Jzd04/0705_var-hawkes
Learning Hawkes Processes from a Handful of Events
Jzd04/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Jzd04/-R-_datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Jzd04/01_erc
Experiment Release Cycle repository
Jzd04/0705-awesome-gradient-boosting-papers
机器学习
Jzd04/0705_good_machine-learning
随机森林
Jzd04/0705_Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Jzd04/0705_notebook_-_MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
Jzd04/0705_Pointprocess_PoPPy
A Point Process Toolbox Based on PyTorch
Jzd04/0705_tick
Module for statistical learning, with a particular emphasis on time-dependent modelling
Jzd04/dagdata
Data for the HarvardX courses: PH525x
Jzd04/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Jzd04/hawkesbook
[Python Package] Code from 'The Elements of Hawkes Processes' Book
Jzd04/JumpDetectR
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
Jzd04/Myspace
Jzd04/pml2-book
Probabilistic Machine Learning: Advanced Topics
Jzd04/webinars
Code and slides for RStudio webinars
Jzd04/z6mdnojc