LSTM_Anomaly_Detector

CompactCNN

PyTorch and Keras implementation of CompactCNN for Anomaly Detection in textured surfaces.

tsb-kit

Univariate Time-Series Anomaly Detection algorithms from TSB-UAD

Machine-Learning-for-Predictive-Maintenance

Anomaly detection and failure prognosis applied to industrial machines

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

aae-train-donkeycar

Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations)...

anompy

A Python library for anomaly detection

anomalytics

The ultimate anomaly detection and its analytics.

abnormal_vibrations_watchdog

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor meas...

Adversarial-AutoEncoder

Tensorflow Code for Adversarial AutoEncoder(AAE)

sequence-to-sequence-from-scratch

Sequence to Sequence from Scratch Using Pytorch

Adverserial-Dual-AutoEncoder

Fun-with-MNIST

Playing with MNIST. Machine Learning. Generative Models.

OoD_Mining

Implementation of "Metric Learning for Novelty and Anomaly Detection", BMVC 2018

anomaly-detection-in-time-series-based-on-statistical-features-and-forcasting

Detects anomalies in time series using statistical features and forecasts future values with an L...

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...