209 Open source projects that are alternatives of or similar to az-ml-batch-score

Azure Machine Learning Cheat Sheets

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

A quick and dirty vehicle speed detector using video + anomaly detection

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

MemStream: Memory-Based Streaming Anomaly Detection

This repository contains the code for the blogpost: How to Develop a Currency Detection Model using Azure Machine Learning

🚀 R package future.callr: A Future API for Parallel Processing using 'callr'

anomaly detection by one-class SVM

Java library for imaging tasks that integrates well with the java.awt.image environment

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

Operationalize a video anomaly detection model with Azure ML

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Sherlock is an anomaly detection service built on top of Druid

Resources for working with time series and sequence data

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

fast implementation of singular spectrum transformation (change point detection algorithm)

TOD: GPU-accelerated Outlier Detection via Tensor Operations

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

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

anomaly detection with anomalize and Google Trends data

BentoML Example Projects 🎨

AKS Deployment Tutorial

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

benfordslaw is about the frequency distribution of leading digits.

Mean-Shifted Contrastive Loss for Anomaly Detection

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

⭐ An anomaly-based intrusion detection system.

基于智能计算框架nupic的异常检测restful Api.

https://events.kaspersky.com/hackathon/

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Threat Detection & Anomaly Detection rules for popular open-source components

Parallel NDJSON Reader for Python

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

No description or website provided.

Run MapReduce in user's browser.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Code for reproducing f-AnoGAN in Pytorch

Snap Programming Language

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

Run Git commands in all subdirectories really fast

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection