svenhsia

Calibrating-Rough-Volatility-Models-with-Deep-Learning

This is a course project of the course « Machine Learning for Finance » at ENSAE ParisTech.

Entropic-Wasserstein-Embedding

This is a course project of « Geometric Methods in Machine Learning » @ ENSAE, which aims at implementing the paper « Learning Embeddings into Wasserstein Spaces » (C. Frogner, et al.)

document-topic-prediction

Use Topic Modeling and classification to predict the topic of a given text

html2tree

A python script to build a tree structure from a raw HTML text.

lstm-anomaly-detection

Course project

actor-clustering-analysis-with-douban

Analyse the relation of actors' clustering (partnership) and their estimated professional level (popularity)

bnp-course

Material for a short graduate course on Bayesian nonparametrics

distributed-join-of-social-network-data

Course Project of INF442 (Big Data)

SpeedTyper

svenhsia.github.io

A personal resume page