A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps
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Dec 31, 2023
#
anamoly-detection
Here are 62 public repositories matching this topic...
A research project of anomaly detection on dataset IoT-23
python machine-learning deep-learning svm cnn decision-trees iot-security anamoly-detection navies-bayes-classifer
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Sep 9, 2024 - Jupyter Notebook
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
deep-learning pytorch artificial-intelligence outlier-detection label-propagation geometric-deep-learning node-classification graph-neural-networks anamoly-detection pytorch-geometric out-of-distribution-detection large-graph trustworthy-ai distribution-shift out-of-distribution-generalization
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Jul 27, 2023 - Python
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
finance machine-learning query deep-learning data-visualization data-analytics classification data-analysis sampling confusion-matrix large-dataset classification-report anamoly-detection auprc under-sampling over-sampling
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May 23, 2019 - Jupyter Notebook
CICIDS2017 dataset
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Jan 4, 2022 - Jupyter Notebook
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
machine-learning data-visualization feature-extraction classification outlier-detection sampling-methods precision-recall-curve anamoly-detection
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May 20, 2019 - Jupyter Notebook
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.
finance deep-learning eda data-visualization data-analysis beginner unsupervised-learning self-organizing-map anamoly-detection
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Mar 31, 2019 - Jupyter Notebook
The official repository of TeamGabru.
video computer-vision deep-learning outlier-detection alexnet video-surveillance topic-models anamoly-detection
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Oct 16, 2019 - Python
This Project is detect outliers in sensor networks. We are using ISSNIP Single hop dataset for this.
machine-learning time-series svm pytorch lstm outlier-detection sensor-network mahalanobis-distance anamoly-detection issnip-dataset
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May 3, 2020 - Python
machine-learning linear-regression regression lstm gru gan mnist style-transfer classification mnist-classification mnist-dataset attention logistic-regression transfer-learning churn-prediction image-translation sigmoid-function tensorflow-estimator anamoly-detection tensorflow2
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Jul 2, 2021 - Jupyter Notebook
Multimodal Subspace Support Vector Data Description
dimensionality-reduction subspace-learning multimodal anamoly-detection one-class-classification multimodal-one-class-classification
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Mar 15, 2023 - MATLAB
Subspace Support Vector Data Description
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Feb 24, 2022 - MATLAB
Knowledge base of python projects, modules, AI concepts and more
nlp devops data machine-learning tensorflow sklearn chatbot pandas text-summarization webscraping anamoly-detection
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Jan 16, 2021 - Jupyter Notebook
Media streaming for live and video-on-demand playback requires near real-time identification of and response to application problems. This architecture provides real-time monitoring and observability of systems of end-user device telemetry data with anomaly detection.
monitoring azure telemetry media azure-functions telemetry-collection observability anamoly-detection azure-data-explorer azure-metrics-advisor
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Dec 2, 2022 - Python
The objective of the project is to detect anomalies in credit card transactions. More precisely, given the data on time, amount and 28 transformed features, our goal is to fit a probability distribution based on authentic transactions, and then use it to correctly identify a new transaction as authentic or fraudulent.
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Mar 13, 2024 - Jupyter Notebook
A Python Module for Outliers Detection, Visualization and Treatment in Oil Well Datasets
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Jun 10, 2023 - Jupyter Notebook
This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. 🚀✨
python data-science machine-learning data-visualization data-analysis data-preprocessing fraud-detection anamoly-detection classification-algorithms credit-card-transactions
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Mar 30, 2024 - Jupyter Notebook
Application to recover a realtime AWS Dynamodb table data without losing newly added data to resolve damages from spam attacks and accidental data deletions
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Jan 24, 2020 - Python
Use z-score analysis to find out anomalous behavior in the room by analyzing the condition of the light in your room.
python3 cloud-server ldr-sensor z-score droplets anamoly-detection anomaly-detection-algorithm sms-alert light-anamoly
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Aug 14, 2022
This project aims to detect credit card fraud using Anamoly detection techniques such as Isolation Forest and Local Outlier Factor algorithms.
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Jan 5, 2022 - Jupyter Notebook
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