wangkua1

ais

Annealed Importance Sampling (AIS) for generative models.

apd_public

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

BDMC

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

cinic-10

A drop-in replacement for CIFAR-10.

cleverhans

A library for benchmarking vulnerability to adversarial examples

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

fs-ood

Kuan-Chieh Wang, Paul Vicol, Eleni Triantafillou, Richard Zemel. (2020). “Few-shot Out-of-Distribution Detection.” (ICML) Workshop on Uncertainty and Robustness in Deep Learning

nemo-cvpr2023

[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"

sportvu

vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

wangkua1/nemo-cvpr2023

[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"

wangkua1/vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

wangkua1/apd_public

Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317

wangkua1/fs-ood

Kuan-Chieh Wang, Paul Vicol, Eleni Triantafillou, Richard Zemel. (2020). “Few-shot Out-of-Distribution Detection.” (ICML) Workshop on Uncertainty and Robustness in Deep Learning

wangkua1/sportvu

wangkua1/ais

Annealed Importance Sampling (AIS) for generative models.

wangkua1/BDMC

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

wangkua1/cinic-10

A drop-in replacement for CIFAR-10.

wangkua1/CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

wangkua1/data-efficient-gans

Differentiable Augmentation for Data-Efficient GAN Training

wangkua1/dci-knn

Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)

wangkua1/EverybodyDanceNow

Motion Retargeting Video Subjects

wangkua1/GLAMR

[CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.

wangkua1/Glow-PyTorch

Simple, extendable, easy to understand Glow implementation in PyTorch

wangkua1/group_DRO

Distributionally robust neural networks for group shifts

wangkua1/improved_wgan_training

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

wangkua1/InsightFace_Pytorch

Pytorch0.4.1 codes for InsightFace

wangkua1/mixmatch

wangkua1/motion-diffusion-model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

wangkua1/neural-statistician

PyTorch Implementation of Neural Statistician

wangkua1/normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

wangkua1/NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

wangkua1/pytorch-fid

A Port of Fréchet Inception Distance (FID score) to PyTorch

wangkua1/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

wangkua1/robustness

Corruption and Perturbation Robustness (ICLR 2019)

wangkua1/ssl_bad_gan

Good Semi-Supervised Learning That Requires a Bad GAN

wangkua1/stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

wangkua1/VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

wangkua1/view_neti

wangkua1/wangkua1.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics