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adlr

Anomaly detection in hyperspectral images by abundance- and dictionary-based low-rank decomposition (ADLR)

admm

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

aed-algorithm

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

hyperspectral-image-target-detection-based-on-sparse-representation

Hyperspectral image Target Detection based on Sparse Representation

invertinggan

Invert a pre-trained GAN model (includes code for training a GAN on celebA)

learning-opencv-python-with-your-camera

Image_Filtering_Edge_Detection_Morphology_Demo

lren

Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection (AAAI2021)

mvcnmf

Unsupervised spectral unmixing by minimum-volume-constrained non-negative matrix factorization (MVC-NMF)

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.

rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

sar_imaging_chirp_scaling

Chirp scaling algorithm for SAR Imaging

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

torch_base

Quickly bring up your PyTorch project(a skeleton)