kenneth-lee-ch
Ph.D. student @Purdue. Interested in causal inference and its application to decision-making
Purdue UniversityWest Lafayette, IN
Pinned Repositories
covidcast-modeling
Data analyses surrounding Delphi's COVIDcast effort.
trustworthyAI
Trustworthy AI related projects
6.S091-causality
calibtools
Posterior probability calibration methods for machine learning algorithms
causal-learn
Python translation (and extension) of the Tetrad java code.
chirho
An experimental language for causal reasoning
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
kenneth-lee-ch.github.io
Home Page
SMS-Spam-Classification
Using recurrent neural network to classify SMS messages as spam or legitimate
STA-207
It contains projects for the class STA 207 at UC Davis
kenneth-lee-ch's Repositories
kenneth-lee-ch/kenneth-lee-ch.github.io
Home Page
kenneth-lee-ch/6.S091-causality
kenneth-lee-ch/academic-kickstart
Easily create a beautiful website using Academic and Hugo
kenneth-lee-ch/causal-learn
Python translation (and extension) of the Tetrad java code.
kenneth-lee-ch/chirho
An experimental language for causal reasoning
kenneth-lee-ch/6.S091-causality-2024
kenneth-lee-ch/advice
A repository of links with advice related to grad school applications, research, phd etc
kenneth-lee-ch/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
kenneth-lee-ch/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
kenneth-lee-ch/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
kenneth-lee-ch/benchpress
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
kenneth-lee-ch/causal-flows
kenneth-lee-ch/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
kenneth-lee-ch/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
kenneth-lee-ch/causaleffect
Python package to compute conditional and non-conditional causal effects.
kenneth-lee-ch/causality-lab
Causal discovery algorithms and tools for implementing new ones
kenneth-lee-ch/Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
kenneth-lee-ch/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
kenneth-lee-ch/causalml-1
Uplift modeling and causal inference with machine learning algorithms
kenneth-lee-ch/DomainBed
DomainBed is a suite to test domain generalization algorithms
kenneth-lee-ch/gflownet
Generative Flow Networks
kenneth-lee-ch/hyppo
Python package for multivariate hypothesis testing
kenneth-lee-ch/id4ip
Finding Invariant Predictors Efficiently via Causal Structure
kenneth-lee-ch/latentPC
kenneth-lee-ch/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
kenneth-lee-ch/notebooks
code for deep learning courses
kenneth-lee-ch/optuna
A hyperparameter optimization framework
kenneth-lee-ch/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
kenneth-lee-ch/ruptures
ruptures: change point detection in Python
kenneth-lee-ch/trustworthyAI
trustworthy AI related projects