LillyWu's repositories
Self-learning-Computer-Science
the resources I use to learn computer science in my spare time
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-distributed-systems
A curated list to learn about distributed systems
Awesome-System-for-Machine-Learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
causalml
Uplift modeling and causal inference with machine learning algorithms
cv
My academia-formatted CV.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
intro_machine_learning
Introduction to machine learning
Kimera-RPGO
Robust Pose Graph Optimization
LillyWu.github.io
Lilly Wu's personal website
pgmpy
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ResearchProject
A Research Project that construct furnace temperature filed with signal process method
rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
simple-resume-cv
Template for a simple resume or curriculum vitae (CV), in XeLaTeX.
tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at