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Task oriented AI agent framework for digital workers and vertical AI agents

Python 5,951 558 Updated Jan 22, 2025

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

61,320 7,882 Updated Jan 19, 2025

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

Python 62,673 14,911 Updated Jan 22, 2025

aSsessMent frAmework foR deTEctors of integrity attacks to Smart meTers

Python 3 Updated Jun 10, 2021

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

Python 180 62 Updated Jan 17, 2022

Deep Gaussian Processes in Python

Python 232 63 Updated May 4, 2021

Code of Paper D2AE: A Data Distillation Enhanced Autoencoder for Detecting Anomalous Gas Consumption

Jupyter Notebook 2 2 Updated May 23, 2022
Python 2 1 Updated Feb 5, 2023

Anomaly detection Example LSTM example with Quantile Regression Keras

Jupyter Notebook 3 2 Updated Jan 16, 2024

Multivariate time-series forecasting with LSTNET and soft-DTW loss

Python 29 10 Updated Jun 3, 2020

Multi-Output Gaussian Process Toolkit

Python 167 43 Updated Apr 16, 2024

This repository contains the source code for fusing Sentinel-1 and Sentinel-2 time series using Multi-Output Gaussian Process Regression

Jupyter Notebook 2 Updated Jul 31, 2023

ML Time Series Analysis | SARIMA, ARMA, LSTM | Power Forecasting for Sceaux, France

Python 1 Updated Feb 17, 2024

"Explore predictive modeling of household energy use with 'SLR.ipynb'. It covers data prep, analysis, and regression techniques to forecast energy needs, focusing on environmental impacts and optim…

HTML 1 Updated Feb 13, 2024

Valid and adaptive prediction intervals for probabilistic time series forecasting

Jupyter Notebook 87 10 Updated Sep 28, 2022

Monthly-Electricity-forecast use GPR-RFr 某区域月电量预测,采用高斯过程回归、随机森林回归预测日电量,通过日电量累加的方式来获得月电量的预测

Jupyter Notebook 16 2 Updated Jan 13, 2019

An Intuitive Tutorial to Gaussian Processes Regression

Jupyter Notebook 571 111 Updated Feb 17, 2024

probabilistic forecasting with Temporal Fusion Transformer

Jupyter Notebook 39 23 Updated Jan 25, 2022

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Jupyter Notebook 489 87 Updated Nov 21, 2022

Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data

Python 121 33 Updated Dec 2, 2022

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

Python 465 141 Updated Mar 6, 2019

ECE 176 course project

Jupyter Notebook 1 Updated Mar 23, 2023

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

Python 476 104 Updated Aug 1, 2022

Weakly Supervised Video Anomaly Detection Based on Dual Dynamic Memory Network

Python 3 Updated Oct 30, 2023

Memory Augmented Adversarial Dual Auto Encoder for Robust Anomaly Detection

Python 2 Updated Feb 7, 2024

Memory Augmented Conditional Autoencoder for Anomaly Detection - Bachelor's Thesis

Python 2 Updated Feb 4, 2023

Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

Jupyter Notebook 1 Updated Mar 15, 2023

Official code for 'Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder'

9 Updated Apr 24, 2022

Memory-augmented Online Video Anomaly Detection

Python 4 5 Updated Apr 25, 2024

Official code for "Memory-Augmented U-Transformer for Multivariate Time Series Anomaly Detection" Code will come soon!

Python 9 2 Updated Oct 26, 2022
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