SamsungLabs
SamsungLabs
deep-weight-prior
The Deep Weight Prior, ICLR 2019
eagle
Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
gps-augment
Simple but high-performing method for learning a policy of test-time augmentation
MLI
Novel View Synthesis with multiplane/multilayer representation: CVPR2022, WACV2023
semi-supervised-NFs
Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
tqc_pytorch
Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/
W2E
This is a project of "Cybersecurity Event Detection with New and Re-emerging Words". (ASIACCS 2020)
point_based_clothing
Official PyTorch implementation of ICCV'21 paper Point-Based Modeling of Human Clothing