lenhoanh

Video-anomaly-detection-guided-by-clustering-learning

Codes will be released after March 2024

CLAP

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

DDL

lazy_dataset

lazy_dataset: Process large datasets as if it was an iterable.

Paper-Making-Anomalies-More-Anomalous

[IEEE Access] PyTorch Implementation of the Paper 'Making Anomalies More Anomalous': Official Version

C2FPL

A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection

MoCoDAD

The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

TrajREC

[WACV 2024] Code for multitask trajectory anomaly detection

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

chainer

A flexible framework of neural networks for deep learning

Shift-Net

A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift

Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

netron

Visualizer for neural network, deep learning and machine learning models

pytorchviz

A small package to create visualizations of PyTorch execution graphs

pytorch_geometric

Graph Neural Network Library for PyTorch

onnx

Open standard for machine learning interoperability

Object-Detection-Camera-Feed

By doing frame subtraction to a pre-selected frame, the script detect abnormalities in a video. Extract the differences' snapshot and record its information to a log file

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae_st

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

RAFT

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

torch-metrics

Metrics for model evaluation in pytorch

Pytorch-metrics

Implementation of Evaluation Metrics for Pytorch

FastAno_official

[2022 WACV] FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation

Awesome-Multi-Task-Learning

An up-to-date list of works on Multi-Task Learning

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

MVTecAD

A Pytorch loader for MVTecAD dataset.

MAE-code

Pytorch implementation of Masked Auto-Encoder

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

sspcab