deeplearning-wisc / vos

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

Fine-tune pretrained Convolutional Neural Networks with PyTorch

#计算机科学#A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Tips for Writing a Research Paper using LaTeX

#数据仓库#Awesome things about domain generalization, including papers, code, etc.

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

FreeCAD Workbench for guitar design

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...

🤩 Rip-off of skyzh's CV

#数据仓库#Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

#计算机科学#Machine learning metrics for distributed, scalable PyTorch applications.

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".