259 Open source projects that are alternatives of or similar to Deep Svdd

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Kibana Alert & Report App for Elasticsearch

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Periodic Spatial Generative Adversarial Networks

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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

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

STUMPY is a powerful and scalable Python library for modern time series analysis

Find big moving stocks before they move using machine learning and anomaly detection

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

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

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

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

Anomaly detection for streaming time series, featuring automated model selection.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

log anomaly detection toolkit including DeepLog

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

A deep generative model library in Theano and Lasagne

Keras community contributions

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Repository for the Explainable Deep One-Class Classification paper

Real-World Anomaly Detection in Surveillance Videos

Code examples for training AlexNet using Keras and Theano

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

Source code for Skip-GANomaly paper

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

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

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

A curated list of awesome anomaly detection resources

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

机器学习相关教程

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

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 high-level machine learning and deep learning library for the PHP language.

Unsupervised anomaly detection with generative model, keras implementation

This repo allocate DAPs code of our ECCV 2016 publication

Handwritten Digit Recognition using Machine Learning and Deep Learning

This is now the official location of the Merlin project.

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

Time series based anomaly detector

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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

Latent space autoregression for novelty detection.

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Trojan Attack on Neural Network

Generating proportional fonts with deep learning

An End-to-end Outlier Detection System

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Deep Learning sample programs using PyTorch in C++