Wei-Chen.Chen's repositories
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
Python-Socket-Practice
Learning how to build a connection between Server-side and Client-side.
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
bayes
Neat Bayesian machine learning examples
Causal-Inference-1
Causal Inference 1 Mixtape Session
causality
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
conformal_training
This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".
ConformalPrediction.jl
Uncertainty quantification through conformal prediction for machine learning models trained in MLJ.
cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Econometrics.jl
Econometrics in Julia
fall-in-love-with-julia
An introductory 101 series to get to know the power of Julialang
Grad-IO
Graduate Empirical Industrial Organization
graph_cp
Conformal prediction for node classification
HopCPT
Conformal Prediction for Time Series with Modern Hopfield Networks
Instrumental-Variables
Instrumental Variables Mixtape Track
JuliaHLRS22
Julia for High Performance Computing Course @ HLRS
machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
ProgrammingCourse-with-Julia-SimulationAnalysisAndLearningSystems
Programming of Simulation, Analysis, and Learning Systems Course Materials
pycounts
To learn how to develop my own python package systematically. It is a practice.
reinforcement-learning
A Gentle Principled Introduction to Deep Reinforcement Learning
RiskMeasures.jl
Julia code for computing monetary measures of risk, coherent or not
SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Shift-Share
Shift-Share Instrument Mixtape Track