ipa-rar

StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

NJODE

code for "Neural Jump Ordinary Differential Equations"

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

py-simple-math-interpreter

An interpreter that can evaluate simple calculations to understand how computers process human-readable text

os-series

rvizweb

RVizWeb: RViz on the browser

ros_best_practices

Best practices, conventions, and tricks for ROS

AnomalyDetection

Twitter's Anomaly Detection in Pure Python

DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

araig_robot_packages

rosidl_python

rosidl support for Python

OpenCV_Projects

List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).

ros2_tests

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

ros2_documentation

ROS 2 docs repository

contributions_dashboard

demos

deeplearning-models

A collection of various deep learning architectures, models, and tips

libstatistics_collector

ROS 2 library providing classes to collect measurements and calculate statistics across them.

vscode_ros2_workspace

A template for using VSCode as an IDE for ROS2 development.

forty-jekyll-theme

A Jekyll version of the "Forty" theme by HTML5 UP.

stella_vslam

This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)

deep-learning-time-series-anomaly-detection

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

medium-ds-unsupervised-anomaly-detection-deepant-lstmae

Deep Learning based technique for Unsupervised Anomaly Detection using DeepAnT and LSTM Autoencoder

deep-learning-time-series-anomaly-detection

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-

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

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Multicore_Processor_Partitioning

Partitioning of the tasks using BF (Best Fit), FF (First Fit) and NF (Next Fit)

M2-ERTS