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Dr. Jack K. Rasmus-Vorrath's Projects

anomaly-transformer icon anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

data_mining_school_performance_data icon data_mining_school_performance_data

DNN and SVM Classification, KNN, K-Means++, DBSCAN, Affinity Propagation, and Spectral Clustering, and PLS, Principal Component, Gradient Boosting, KNN, and Multinomial Logistic Regression

dataminingnotebooks icon dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

deep-sad-pytorch icon deep-sad-pytorch

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

diffi icon diffi

Official repository of the paper "Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance", M. Carletti, M. Terzi, G. A. Susto.

hnsw icon hnsw

HNSW ANN from the paper "Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs"

hnswlib icon hnswlib

Header-only C++/python library for fast approximate nearest neighbors

is-bert icon is-bert

An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)

robert_recurrence_over_bert icon robert_recurrence_over_bert

pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch implementation of other Hierarchical Methods (Mean Pooling and Max Pooling) and Truncation Methods (Head Only and Tail Only) presented in this paper https://arxiv.org/abs/1905.05583

rrcf icon rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

sl-gad icon sl-gad

[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

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