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Jackson Wang's Projects

ais icon ais

Annealed Importance Sampling (AIS) for generative models.

apd_public icon apd_public

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

bdmc icon bdmc

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

cleverhans icon cleverhans

A library for benchmarking vulnerability to adversarial examples

dci-knn icon dci-knn

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

fs-ood icon 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

glamr icon glamr

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

glow-pytorch icon glow-pytorch

Simple, extendable, easy to understand Glow implementation in PyTorch

group_dro icon group_dro

Distributionally robust neural networks for group shifts

inn icon inn

Code for the ICCV 2017 paper "Introspective Neural Networks for Generative Modeling"

nemo-cvpr2023 icon nemo-cvpr2023

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

normalizing_flows icon normalizing_flows

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

nvae icon nvae

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

pytorch-fid icon pytorch-fid

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

resnet icon resnet

Modified from the original tensorflow version.

robustness icon robustness

Corruption and Perturbation Robustness (ICLR 2019)

ssl_bad_gan icon ssl_bad_gan

Good Semi-Supervised Learning That Requires a Bad GAN

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