jiantinker Goto Github PK
Name: Jian Tinker
Type: User
Company: Sr. Quantitative Analyst
Location: USA
Name: Jian Tinker
Type: User
Company: Sr. Quantitative Analyst
Location: USA
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
Source code for the book "Building Probabilistic Graphical Models in Python"
Here you will find materials for the course of Computational Finance
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Libor curve bootstrapping example from cash, Eurodollar future and interest rate swap instruments.
data science coursera project 1
The Leek group guide to data sharing
Deep Learning Specialization by Andrew Ng on Coursera.
Some Deep Learning and Machine learning models for stock market
Functionalities in Excel translated to Python
Elastic Deep Learning using PaddlePaddle and Kubernetes
Plotting Assignment 1 for Exploratory Data Analysis
Python code for pricing exotic options, such as Asian options, Barrier options and Look-back options using Monte Carlo methods.
A MNIST-like fashion product database. Benchmark :point_down:
Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
Forecasting the 10 year US Treasury using forward rates and machine learning alternatives
This is a final project for the Getting and Cleaning Data Coursera Course
Python toolkit for quantitative finance
Notebooks and code for the book "Introduction to Machine Learning with Python"
Learning Probabilistic Graphical Models in R
Modeling default versus prepayment risk via logistic regression and Cox proportional hazards.
Single and Multi Factor Libor Market Model with Monte Carlo simulations to price a swaption receiver and a zcb option
Public repo for DeepLearning.AI MLEP Specialization
Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.pdf
Hidden Markov Models with Nonparametric Emissions
PArallel Distributed Deep LEarning (『飞桨』核心框架,高性能单机、分布式训练和跨平台部署)
Course webpage for PGM, Spring 2019.
Zero-inflated Poisson model for predicting prepayment rates of Ginnie Mae MBSs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.