czx6858

BDA_R_demos

Bayesian Data Analysis demos for R

cs231n

Shortest solutions for CS231n 2021 and 2022

generative-adversial

image generation via GANs

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hamiltonian-monte-carlo

Implementation of Hamiltonian Monte Carlo using Google's TensorFlow

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

improved_wgan_training-1

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

MMD-GAN

Training MMD GANs.

MMD-GAN-1

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Stein_GAN

czx6858/BDA_R_demos

Bayesian Data Analysis demos for R

czx6858/cs231n

Shortest solutions for CS231n 2021 and 2022

czx6858/generative-adversial

image generation via GANs

czx6858/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

czx6858/hamiltonian-monte-carlo

Implementation of Hamiltonian Monte Carlo using Google's TensorFlow

czx6858/improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

czx6858/improved_wgan_training-1

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

czx6858/MMD-GAN

Training MMD GANs.

czx6858/MMD-GAN-1

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

czx6858/Stein_GAN

czx6858/text_VAE

Text generation with a Variational Autoencoder

czx6858/UCLA_CS161

Projects and lecture notes for UCLA Computer Science 161 (Fundamentals of Artificial Intelligence) with Professor Guy Van den Broeck.

czx6858/WGAN-GP-tensorflow

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"