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atd

avr-dht

DHT11/DHT22 temperature and humidity sensor C library for AVR microcontrollers

csi

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-svdd

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

doprax-xray

Doprax一键五协议共存脚本：Xray内核，支持vless，vmess，trojan，shadowsocks，socks五协议同时在线，支持Cloudflare Argo隧道自动生成分享链接

draem

egae

Implementation of "Embedding Graph Auto-Encoder for Graph Clustering", IEEE Transactions on Neural Networks and Learning Systems.

exposureexperiment

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

humangaussian

Github Repo for "HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting"

informative-outlier-mining

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

inrad

likelicommunity

mean-shifted-anomaly-detection

Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)

nope-nerf

(CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior

ood_test_jafari

osr_dir

panda

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

pgd-vae

The source code of PGD-VAE

robustest

simplelikeli

stpm_anomaly_detection

Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection

test_oneclass

transferad

Transfer-based anomaly detection (ICML 2021).

transformaly

v2ray-for-doprax

The tool can install v2ray on the Doprax, including VMess and VLess protocols, it will automatically switch IP, you need to fork this projects, read readme.md and run it. Create By ifeng.