pangbo15 Goto Github PK

2020mlf-project

2020 MLF project members: Pangbo, WeiLinyi, ZhaoShuyin

asp

PHBS Applied Stochastic Processes Course Website

bayesian-modeling

Case studies with Bayesian methods

causalgraphicalmodels

Causal Graphical Models in Python

causality

columbia_mini_course

Computational Economics with Python

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

git-cheat-sheet

Git Cheat Sheet

hellogit

Hello

hyperboard

A web-based dashboard for Deep Learning

igel

a machine learning tool that allows to train, test and use models without writing code

intro_to_pymc3

Short introduction to Bayesian statistical modelling with PyMC3

ipynb_notebooks

As I learn python I create ipynbs

mec_optim_2020-01

'math+econ+code' masterclass on optimal transport and economic applications

mlf

Machine Learning for Finance: 2019-20 Module 3 (Spring 2020)

otml_ds3_2018

Practical sessions for the Optimal Transport and Machine learning course at DS3 2018

phbs20-21

Materials for the computational social science sequence taught at PHBS in academic year 2020-2021

phbs_mlf_2019

Homework for MLF

phyasgn

北京大学物理学院课程作业模板

proposal-for-digital-finance

My plan for fintech research. TBD on 2022

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

resources

PyMC3 educational resources

scipy_con_2019

Tutorial Sessions for SciPy Con 2019

siqef-ra-2020

Some jupyter-notebook for computational economics and finance class in PHBS

stofin

PHBS Stochastic Finance Course Website

thesis

timeseriesanalysiswithpython

tushare

TuShare is a utility for crawling historical data of China stocks

tutorials

repository with the tutorials for MLSS Skoltech