Pinned Repositories
AutoEncoder
Basic simulations for a simple AutoEncoder and MNIST classification using CNN
beta_VAE
Curriculum-Vitae
DataStructures
Personal Implementations of some Data Structures. Comments are welcome, and you can use them freely.
Deep_Learning_Papers
gamble-simulation
ProblemSolving
Solving coding test problems
Regression-Discontinuity-Design
R codes for the Master Thesis
Simple_Joint_VAE
Implementation of JointVAE with one discrete latent variable (Original Version: https://github.com/Schlumberger/joint-vae by Emilien Dupont)
Statistical_Learning
hkk828's Repositories
hkk828/Simple_Joint_VAE
Implementation of JointVAE with one discrete latent variable (Original Version: https://github.com/Schlumberger/joint-vae by Emilien Dupont)
hkk828/AutoEncoder
Basic simulations for a simple AutoEncoder and MNIST classification using CNN
hkk828/DataStructures
Personal Implementations of some Data Structures. Comments are welcome, and you can use them freely.
hkk828/gamble-simulation
hkk828/ProblemSolving
Solving coding test problems
hkk828/Regression-Discontinuity-Design
R codes for the Master Thesis
hkk828/Statistical_Learning
hkk828/beta_VAE
hkk828/Curriculum-Vitae
hkk828/Deep_Learning_Papers
hkk828/DeepLearningExercise
hkk828/fast_feature_selection
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
hkk828/hkk828.github.io
hkk828/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
hkk828/linux-system-programming
MOOC
hkk828/MachineLearningPractice
hkk828/ML_DL_study
study
hkk828/nomad_book_club
mission 1
hkk828/regex
Handling Regular Expression with Python re module
hkk828/tiny_python_projects
Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.