438 Open source projects that are alternatives of or similar to Anomaly Detection In Surveillance Videos

A machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

A curated list of awesome anomaly detection resources

Caffe to VHDL

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Active Convolution

Trajectory-pooled Deep-Convolutional Descriptors

🏭 Collaboratively build, visualize, and design neural nets in browser

Trojan Attack on Neural Network

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A Computation Graph Virtual Machine Based Deep Learning Framework

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

A deep convolutional neural network system for live emotion detection

MobileNet-v2 experimental network description for caffe

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

Deep Learning Benchmarking Suite

An Unsupervised Graph-based Toolbox for Fraud Detection

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

faster-rcnn c++ python model

Deep Learning sample programs using PyTorch in C++

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

collection of utilities to use with deep learning libraries (e.g. caffe)

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Add-on package for ONNX format support in Chainer

Anomaly Detection and Correlation library

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

VGG 19 Layers Deep Network

Kibana Alert & Report App for Elasticsearch

A caffe implementation of MobileNet-YOLO detection network

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

A log analysis toolkit for automated anomaly detection [ISSRE'16]

TensorRT Net Wrapper

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Source code for Skip-GANomaly paper

Keras version of Realtime Multi-Person Pose Estimation project

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

Setup and customize deep learning environment in seconds.

AI on Hadoop

Evaluation of the CNN design choices performance on ImageNet-2012.

Transform the caffe model to pytorch model for Temporal Segment Network

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Kaggle dogs vs cats solution in Caffe

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

face detection and alignment with mtcnn

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

SeqFace : Making full use of sequence information for face recognition

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

List of tools & datasets for anomaly detection on time-series data.

log anomaly detection toolkit including DeepLog

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

MobilNet-SSD object detection in opencv 3.4.1