Alternatives and similar repositories for unsupervised-outlier-transparency:

Users that are interested in unsupervised-outlier-transparency are comparing it to the libraries listed below

• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆41Updated 3 years ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆29Updated 3 years ago
• AndreCNF / shap-variable-sequence-pytorch-debug
  ☆18Updated 2 years ago
• fastforwardlabs / deepad
  Deep Learning for Anomaly Deteection
  ☆60Updated 2 years ago
• FlorisHoogenboom / som-anomaly-detector
  Implementation of Kohonen SOM for anomaly detection purposes.
  ☆27Updated 11 months ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• GuansongPang / deep-outlier-detection
  Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…
  ☆48Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• nhsx / skunkworks-synthetic-data
  A pipeline for generating and evaluating synthetic data generation models. Currently using SynthVAE to demonstrate functionality. Read mo…
  ☆24Updated 2 years ago
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• nhsx / SynthVAE
  Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
  ☆45Updated 2 years ago
• scikit-multiflow / streaming-datasets
  A collection of data sets for stream learning.
  ☆32Updated 4 years ago
• daanknoors / synthetic_data_generation
  Algorithms for generating synthetic data
  ☆16Updated 9 months ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆87Updated 5 years ago
• adib0073 / Time_Series_Anomaly_Detection
  Effective Approaches for Time Series Anomaly Detection
  ☆11Updated 4 years ago
• donalee / DualAAE-EHR
  Dual Adversarial Autoencoder for Generating Set-valued Sequences
  ☆18Updated 4 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• dataman-git / Handbook-of-anomaly-detection
  ☆16Updated 6 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆41Updated 4 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 5 years ago
• astorfi / cor-gan
  COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
  ☆56Updated 4 years ago
• alan-turing-institute / AnnotateChange
  A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection alg…
  ☆20Updated 4 years ago
• capitalone / global-attribution-mapping
  GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
  ☆33Updated 2 months ago