412 Open source projects that are alternatives of or similar to Novelty 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.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Awesome-Cross-Domain-Person-Re-identification

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

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Anomaly detection implemented in Keras

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Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

Pytorch implementation of β-VAE

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

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

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

A PyTorch implementation of the Deep SVDD anomaly detection method

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

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

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

No description or website provided.

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

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

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

Experiments on unsupervised point cloud reconstruction.

Implementing machine learning algorithms from scratch.

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

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

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Hastic data management server for analyzing patterns and anomalies from Grafana

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.

Composable GAN framework with api and user interface

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

Python module for hyperspectral image processing

some anomaly detection models and experiments.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

official implemntation for "Contrastive Learning with Stronger Augmentations"

和（he for objective-c） —— “信息熵减机系统”

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

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

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Machine Learning Lectures at the European Space Agency (ESA) in 2018

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

code/webpage for the DeepMapping project

A Python library for anomaly detection

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Unsupervised Learning for Image Registration

An unsupervised Chinese word segmentation tool.

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

A scikit-learn compatible library for anomaly detection

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

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A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

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

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log anomaly detection toolkit including DeepLog

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.