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

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Squeeze-and-Excitation Networks

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

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

DilatedNet in Keras for image segmentation

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

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

Domain Guided Dropout for Person Re-identification

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

ID-discriminative Embedding (IDE) for Person Re-identification

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

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Oriented Response Networks, in CVPR 2017

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

MTCNN with Motion Detection, on Raspberry Pi with Love

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

Auto-ReID and Other Person Re-Identification Projects

pytorch to caffe by onnx

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Add-on package for ONNX format support in Chainer

php wrapper for opencv

A Deep Graph-based Toolbox for Fraud Detection

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Anomaly Detection and Correlation library

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

A Caffe-based implementation of very deep convolution network for image super-resolution

Data Augmentation for Caffe

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

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Tidy anomaly detection

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

VGG 19 Layers Deep Network

The NNEF Tools repository contains tools to generate and consume NNEF documents

Convert Caffe models to PyTorch

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Kibana Alert & Report App for Elasticsearch

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

A caffe implementation of MobileNet-YOLO detection network

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

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]

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

The fundamental package for AIops with python.

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

Thio - a playground for real-time anomaly detection

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

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Deploying a Batch Scoring Pipeline for Python Models