Pinned Repositories
11
chengzhishi.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
CW
ddpm-cd
Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
DIP-VAE
An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
facenet_pytorch
PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
FastAndAccurateRankingRegression
FYP-of-Disentanglement
FYP Disentanglement
generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
chengzhishi's Repositories
chengzhishi/FYP-of-Disentanglement
FYP Disentanglement
chengzhishi/11
chengzhishi/chengzhishi.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
chengzhishi/CW
chengzhishi/ddpm-cd
Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
chengzhishi/DIP-VAE
An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848
chengzhishi/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
chengzhishi/facenet_pytorch
PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
chengzhishi/FastAndAccurateRankingRegression
chengzhishi/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
chengzhishi/GP4A
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
chengzhishi/L0_regularization
Learning Sparse Neural Networks through L0 regularization
chengzhishi/Master-Template
Template and style files for ICLR
chengzhishi/MedSegDiff
Medical Image Segmentation with Diffusion Model
chengzhishi/models
Models and examples built with TensorFlow
chengzhishi/neural-tangents
Fast and Easy Infinite Neural Networks in Python
chengzhishi/PVAE
chengzhishi/SRGAN
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
chengzhishi/Test
chengzhishi/Variational-Ladder-Autoencoder
Implementation of VLAE