Moirai: A Time Series Foundation Model for Universal Forecasting

TL;DR: Moirai is a cutting-edge time series foundation model, offering universal forecasting capabilities. It stands out as a versatile time series forecasting model capable of addressing diverse forecasting tasks across multiple domains, frequencies, and variables in a zero-shot manner.  To achieve this, Moirai tackles four major challenges: (i) construction

19 Mar 2024 • #foundation model

PyRCA: Making Root Cause Analysis Easy in AIOps

TL;DR: PyRCA is an open-source machine learning library specifically designed for conducting Root Cause Analysis (RCA) in IT operations. It offers a comprehensive framework that allows users to easily identify the complicated metric causal dependencies and automatically locate the root causes of incidents. The library provides a unified interface

11 Jul 2023 • #root cause analysis

LogAI: A Library for Log Analytics and Intelligence

TL;DR LogAI is an open-source library designed for log analytics and intelligence. It can process raw logs generated by computer systems and support log analytics tasks such as log clustering and summarization, as well as log intelligence tasks such as log anomaly detection and root-cause analysis. LogAI is compatible

06 Apr 2023 •