Dr. Jack K. Rasmus-Vorrath's repositories
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
Machine-Learning_in_MATLAB
Neural Networks, Random Forests, Fuzzy C-Means Clustering, and Self-Organizing Maps
Natural_Language_Processing
Topic Modeling, Document Clustering, Sentiment Classification, and Lexical Analysis
Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
PII_SPI_Detection
PII, SPI Document Detection
Yelps_Review_Filtering_Algorithm
Natural Language Processing and Logistic Regression Analysis of Yelp's Review Recommendations
anomaly_transformer_pytorch
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
aws-cloudformation-simplified
AWS CloudFormation - Simplified | Hands On Learning !!
Databases_and_Dashboards_-_MySQL-Excel_vs._Amazon_RDS-QuickSight
Comparing two methods for storing, retrieving, displaying, and sharing data: by cost, ease of creation and use, update speed, and shareability.
Deep-SAD-PyTorch
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
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
HNSW ANN from the paper "Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs"
hnswlib
Header-only C++/python library for fast approximate nearest neighbors
IS-BERT
An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)
kubernetes-fundamentals
Kubernetes Fundamentals
logbert
log anomaly detection via BERT
longformer
Longformer: The Long-Document Transformer
quantile-forest
Quantile Regression Forests compatible with scikit-learn.
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
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
skills-copilot-codespaces-vscode
My clone repository
SL-GAD
[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
SNCSE
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Statistical_Sampling_Design
Stratification, Clustering, and Sampling Optimization Procedures and Analysis
TADDY_pytorch
A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
terraform-on-aws-eks
Terraform on AWS EKS Kubernetes IaC SRE- 50 Real-World Demos
TranAD
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
WhiteningBERT
source code for paper: WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.