OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data

Anomaly detection with GNNs

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We…

Counterfactual Explanations for Multivariate Time Series Data

E2EWatch: An End-to-end Anomaly Diagnosis Framework for Production HPC Systems

The artifact for the EuroPar'18 paper "Taxonomist", an ML-based application detection framework that uses system telemetry.

HPC Performance Anomaly Suite

Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems

This repository includes the code for Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems

Giving types to jq

Privacy preserving version of Shazam, implemented as the solution to the Bounty Program of Zama

A curated list of awesome high performance computing resources

STUMPY is a powerful and scalable Python library for modern time series analysis

[DEPRECATED] Moved to ROCm/rocm-systems repo

pyCubexR is a Python package for reading the Cube4 (.cubex) file format.

Aries Network Performance Counters Monitoring Library

Analyze parallel execution traces using pandas dataframes

Parallel framework for training and fine-tuning deep neural networks

An open access book on scientific visualization using python and matplotlib

A template for University of Maryland dissertations

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is des…

🚴 Call stack profiler for Python. Shows you why your code is slow!

TAU Performance System Public Mirror (Updated every night at midnight, USA Pacific Time)

Caliper is an instrumentation and performance profiling library

HPCToolkit performance tools: measurement and analysis components

Analyze graph/hierarchical performance data using pandas dataframes

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.