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

Python toolbox for transfer learning.

anomaly detection with anomalize and Google Trends data

A Python library for anomaly detection

BentoML Example Projects 🎨

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

AKS Deployment Tutorial

A small Java 8 util library, complementary to Guava (BiStream, Substring, MoreStreams, Parallelizer).

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

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

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

基于注解实现并行地依赖注入（数据聚合），可以看做 Spring Async 注解的升级版

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

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

benfordslaw is about the frequency distribution of leading digits.

Parallel SSH Tools

Use a yaml file to stitch together commands and bash snippits and run them with a bit of style. Why? Because your bash script should be quiet and shy-like (...and not such a loud mouth).

Mean-Shifted Contrastive Loss for Anomaly Detection

A simple and lightweight Rust library for making iterator pipelines concurrent

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.

Mass Parallel Secure Shell command execution

⭐ An anomaly-based intrusion detection system.

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

基于智能计算框架nupic的异常检测restful Api.

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

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

Parallel processing for PHP based on Amp.

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

An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.

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

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

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

Distributed Deep Learning using AzureML

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

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

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

The fundamental package for AIops with python.

Parallel NDJSON Reader for Python

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

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

Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

No description or website provided.

Open-source framework to detect outliers in Elasticsearch events

Run MapReduce in user's browser.

Isolation Forest on Spark

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

Repository for the Deep One-Class Classification ICML 2018 paper

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

Unsupervised anomaly detection with generative model, keras implementation

Code for reproducing f-AnoGAN in Pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Snap Programming Language

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

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

Códigos feitos para o curso de Multithreading com Java, no canal RinaldoDev do YouTube.

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'