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The Top 23 Python Autoencoder Anomaly Detection Open Source Projects

Open source projects categorized as Python Autoencoder Anomaly Detection
Categories > Machine Learning > Anomaly Detection
Categories > Machine Learning > Autoencoder
Pyod ⭐ 7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
dependent packages 60total releases 90most recent commit 4 months agopypi pyod} Downloads
Repo 2017 ⭐ 1,146
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
most recent commit 2 years ago
Ad_examples ⭐ 738
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
most recent commit 2 years ago
Memae Anomaly Detection ⭐ 312
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
most recent commit 2 years ago
Deepadots ⭐ 270
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
most recent commit 4 years ago
Deep Sad Pytorch ⭐ 268
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
most recent commit a year ago
Deep Learning For Hackers ⭐ 196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
most recent commit 4 years ago
Mvtec Anomaly Detection ⭐ 162
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
most recent commit 2 years ago
Vae_anomaly_detection ⭐ 148
total releases 3most recent commit 8 months ago
Lstm Autoencoders ⭐ 134
Anomaly detection for streaming data using autoencoders
most recent commit 2 years ago
Kitnet Py ⭐ 124
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
most recent commit 5 years ago
Unsupervised_anomaly_detection_brain_mri ⭐ 123
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
most recent commit 2 years ago
Gpnd ⭐ 106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
most recent commit 3 years ago
Frame Level Anomalies In Videos ⭐ 50
Frame level anomaly detection and localization in videos using auto-encoders
most recent commit 2 years ago
Anomalydetectionusingautoencoder ⭐ 42
Anomaly detection using Autoencoder implemented with Keras 2.
most recent commit 5 years ago
Dcase2020_task2_baseline ⭐ 37
DCASE2020 Challenge Task 2 baseline system
most recent commit 4 years ago
Anomaly Event Detection ⭐ 36
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.
most recent commit 6 years ago
Thio ⭐ 31
Thio - a playground for real-time anomaly detection
most recent commit 4 years ago
Malicious Urls Detection With Autoencoder Neural Networks ⭐ 29
Detecting malicious URLs using an autoencoder neural network
most recent commit 2 years ago
Vae Anomaly Detector ⭐ 29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
most recent commit 5 years ago
Vae Torch ⭐ 24
Variational autoencoder for anomaly detection (in PyTorch).
most recent commit 4 years ago
Lstm_anomaly_detector ⭐ 22
A try to autoencode an LSTM to do anomaly detection
most recent commit 9 years ago
Memae Tf2 ⭐ 19
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
most recent commit 10 months ago
The 4 Latest Releases In Python Autoencoder Anomaly Detection Open Source Projects
Pyod ⭐ 7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
dependent packages 60total releases 90latest release November 18, 2023most recent commit 4 months agopypi pyod} Downloads
Vae_anomaly_detection ⭐ 148
total releases 3latest release March 18, 2023most recent commit 8 months ago
Autoembedder ⭐ 7
PyTorch autoencoder with additional embeddings layer for categorical data 🚘
total releases 23latest release January 21, 2023most recent commit a year ago
Lycorisad ⭐ 6
An elegant outlier detection algorithm framework based on AutoEncoder.
total releases 5latest release April 19, 2020most recent commit 4 years ago
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