haochen3611
I am PhD student at the Ohio State University. My research focus is causal machine learning, probability theory, and optimization.
Pinned Repositories
calculus3
cartpole
OpenAI's cartpole env solver.
catsDoc
Documentations for CATS
dodiscover
[Experimental] Global causal discovery algorithms
ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
FederatedLearning
GamestonkTerminal
The next best thing after Bloomberg Terminal
haochen3611.github.io
Documentation website for CATS
SimMultiTrans
Multimodes Transportation Simulator
YellowCab
haochen3611's Repositories
haochen3611/YellowCab
haochen3611/calculus3
haochen3611/cartpole
OpenAI's cartpole env solver.
haochen3611/catsDoc
Documentations for CATS
haochen3611/dodiscover
[Experimental] Global causal discovery algorithms
haochen3611/ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
haochen3611/FederatedLearning
haochen3611/GamestonkTerminal
The next best thing after Bloomberg Terminal
haochen3611/haochen3611.github.io
Documentation website for CATS
haochen3611/hzmbus
haochen3611/InterviewProject
haochen3611/SimMultiTrans
Multimodes Transportation Simulator
haochen3611/instructor
structured outputs for llms
haochen3611/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
haochen3611/irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
haochen3611/machine_learning_examples
A collection of machine learning examples and tutorials.
haochen3611/NWEngPresentation
Engineering knowledge sharing session at Nationwide during a GRA meeting.
haochen3611/overleaf
A web-based collaborative LaTeX editor
haochen3611/pykan
Kolmogorov Arnold Networks
haochen3611/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
haochen3611/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
haochen3611/rltf
Reinforcement Learning implementations and research prototyping in TensorFlow
haochen3611/sample-efficient-bayesian-rl
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
haochen3611/sublime-installer
A Sublime Text Editor Installer made in shell script for the 2.0.1 version
haochen3611/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
haochen3611/test_app
haochen3611/TwoSidedQueueNetwork