thudzj

ADT

Code for ADT

BVAT

Code for "Batch Virtual Adversarial Training for Graph Convolutional Networks"

Calibrated-DPMs

Official code for "On Calibrating Diffusion Probabilistic Models"

CAT

Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"

DP-VAE

A kind of vae

ELLA

Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')

NEigenmaps

NeuralEigenFunction

ScalableBDL

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

StructuredGAN

SGAN: Structured Generative Adversarial Networks

thudzj/ScalableBDL

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

thudzj/Calibrated-DPMs

Official code for "On Calibrating Diffusion Probabilistic Models"

thudzj/CAT

Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"

thudzj/ELLA

Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')

thudzj/NeuralEigenFunction

thudzj/NEigenmaps

thudzj/BVAT

Code for "Batch Virtual Adversarial Training for Graph Convolutional Networks"

thudzj/ADT

Code for ADT

thudzj/DE-GP

Code for "Deep Ensemble as a Gaussian Process Posterior"

thudzj/graph_nas

thudzj/flight_search

Search engine for flights!

thudzj/gcn_comm

thudzj/gcn_semi

thudzj/NSA

Code for ''Understanding and Exploring the Network with Stochastic Architectures''

thudzj/thudzj.github.io

thudzj/ar

thudzj/BayesAdapter

thudzj/direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

thudzj/MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

thudzj/moco

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

thudzj/ove-polya-gamma-gp

Code to accompany "Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes" by Jake Snell and Richard Zemel (ICLR 2021).

thudzj/PCA_GMMs

PCA reduced Gaussian mixture models with application in superresolution.

thudzj/ScaledRoPE

thudzj/score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

thudzj/semi-wgan

thudzj/simclr-pytorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

thudzj/soft-sharing

Implementation of soft parameter sharing for neural networks

thudzj/SPAT

thudzj/swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

thudzj/vision_transformer