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3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

awesome-6d-object

Awesome work on object 6 DoF pose estimation

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection (defect detection). 工业异常检测(瑕疵检测)论文及数据集检索库。

bidirectional-fusion-ffb6d

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

cpmf

[Axriv] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

cs230-pointfusion

datascience_coursera

Data Science Specialization on Coursera

datasharing

The Leek group guide to data sharing

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

diffusionad

draem

draem-tensoflow

A discriminatively trained reconstruction embedding for surface anomaly detection.

ds_malik_cpp_book_problems

Select exercises from C++ Programming - From Problem Analysis to Program Design 5th Edition

efn6d-efficientfusion-6d

official code for the paper: An Efficient RGB-D fusion Network for 6D Pose Estimation

fall-detection

Non-invasive Fall Detection with Keras and Tensorflow

iae

[ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"

inception-vae

Variational Auto Encoder using Inception module in PyTorch

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

m3dm

pointfusion

Preliminary implementation of PointFusion, a fusion 3D Object Detection network that leverages both image and 3D point cloud information. The repository includes both global and dense implementation of the detector architecture. Coded in Pytorch.

pointfusion-unofficial-

Unofficial implementation of PointFusion for 3D object bounding box prediction

python_crash_course_eric_matthes

rail-defect-detection

real3d-ad

[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

simplenet