HATECC

HATECC's Stars

• gudovskiy/cflow-ad

  Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

  Language:Python24561

• xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master

  This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

  Language:Python41398

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.8k4.8k

• mtailanian/uflow

  Language:Python254

• openvinotoolkit/anomalib

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

  Language:Python3.9k704

• mala-lab/ADShift

  Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

  Language:Python295

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• Nana0606/autoencoder

  个人练习，自编码器及其变形（理论+实践）

  Language:Python32882

• kvfrans/variational-autoencoder

  generate MNIST using a Variational Autoencoder

  Language:Python710194

• jaanli/variational-autoencoder

  Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

  Language:Python1.2k257

• lukasruff/Deep-SVDD-PyTorch

  A PyTorch implementation of the Deep SVDD anomaly detection method

  Language:Python713201

• Yorwxue/Two-Stream-Convolutional-Networks

  for action recognition in videos

  Language:Python4316

• feichtenhofer/twostreamfusion

  Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

  Language:Cuda717188

• bryanyzhu/two-stream-pytorch

  PyTorch implementation of two-stream networks for video action recognition

  Language:Python571148

• jeffreyyihuang/two-stream-action-recognition

  Using two stream architecture to implement a classic action recognition method on UCF101 dataset

  Language:Python865249

• zhongzhh8/Video-Retrieval-C3D

  Video Retrieval, 3D ResNet, Triplet Loss, UCF101, Pytorch

  Language:Python235

• ParitoshParmar/C3D-LSTM--PyTorch

  C3D-LSTM implementation in PyTorch [WACV 2019]

  Language:Python3810

• jfzhang95/pytorch-video-recognition

  PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

  Language:Python1.2k255

• Niki173/C3D

  pytorch

  Language:Python5911

• 2012013382/C3D-Tensorflow-slim

  A simple Tensorflow code for C3D

  Language:Python5029

• vantage-vision-vv/Anomaly-Detection-in-Surveillance-Videos

  Real-World Anomaly Detection in Surveillance Videos

  Language:Python18654

• DavideA/c3d-pytorch

  Pytorch porting of C3D network, with Sports1M weights

  Language:Python35281

• sunnyxiaohu/R-C3D.pytorch

  R-C3D pytorch implementation

  Language:Python24868

• ermshaua/time-series-segmentation-benchmark

  This repository contains the time series segmentation benchmark (TSSB).

  Language:Jupyter Notebook6215