yangjue-han Goto Github PK
Name: Y.H.
Type: User
Company: New York University
Location: New York, NY
Name: Y.H.
Type: User
Company: New York University
Location: New York, NY
Affine term structure modeling Python package. See LICENSE for terms of use.
A framework for autonomous economic agent (AEA) development
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
ARCH models in Python
Homepage for STAT 157 at UC Berkeley
Cloud ML Engine is now a part of AI Platform
Cython interface for the GNU Scientific Library (GSL).
Repo for the Deep Reinforcement Learning Nanodegree program
TensorFlow implementation of Deep Reinforcement Learning papers
A collection of Dynare models
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Engle-Granger cointegration models in R
Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents
FRB/US Model packages and documents.
Python toolkit for quantitative finance
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Replication of Heterogeneous Agent New Keynesian (HANK) model in MATLAB
Hidden Markov Models in Python, with scikit-learn like API
Automatic Differentiation Package for MATLAB
Machine learning course materials.
Nowcasting
Probabilistic reasoning and statistical analysis in TensorFlow
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
PyTorch Tutorial for Deep Learning Researchers
A Repository of Notebooks for the Python Lecture Site
A repository that houses example code, applications and teaching material related to QuantEcon
A community based Python library for quantitative economics
Quantitative Economics
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.