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

CodeT5+: Open Code Large Language Models

TL;DR: CodeT5+ is a new family of open code large language models (LLMs) with improved model architectures and training techniques. CodeT5+ achieves the state-of-the-art performance among the open-source LLMs on many challenging code intelligence tasks, including zero-shot evaluation on the code generation benchmark HumanEval.   Background: Code LLMs Large language

20 May 2023 • #codet5+

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 •

BotSIM: An End-to-End Automatic Evaluation Framework for Task-Oriented Dialog Systems

TL;DR: We present BotSIM, a data-efficient end-to-end Bot SIMulation toolkit for evaluation, diagnosis, and improvement of commercial task-oriented dialogue (TOD) systems. BotSIM's “generation-simulation-remediation'' paradigm can accelerate the end-to-end bot evaluation and iteration process by: (1) reducing the effort needed to create test cases; (2) enabling a better understanding of

29 Nov 2022 • #bot simulation

Meet LAVIS: A One-stop Library for Language-Vision AI Research and Applications

TL;DR: LAVIS (short for LAnguage-VISion) is an open-source deep learning library for language-vision research and applications, offering comprehensive support for a wide range of tasks, datasets, and state-of-the-art models. Featuring a unified interface and modular design, it’s easy to use off-the-shelf and to extend with new capabilities. With

20 Sep 2022 • #LAVIS

OmniXAI: Making Explainable AI Easy for Any Data, Any Models, Any Tasks

TL;DR:OmniXAI (short for Omni eXplainable AI) is designed to address many of the pain points in explaining decisions made by AI models. This open-source library aims to provide data scientists, machine learning engineers, and researchers with a one-stop Explainable AI (XAI) solution to analyze, debug, and interpret their

14 Jun 2022 • #OmniXAI

ALPRO: Understanding Video and Language by Aligning Visual Regions and Text Entities

TL;DR: We propose ALPRO, a new video-and-language representation learning framework which achieves state-of-the-art performance on video-text retrieval and video question answering by learning fine-grained alignment between video regions and textual entities via entity prompts. For more background (a review of key concepts used in this post), please see the

31 May 2022 • #ALPRO

CodeT5: The Code-aware Encoder-Decoder based Pre-trained Programming Language Models

TL; DR: Introducing CodeT5 --- the first code-aware, encoder-decoder-based pre-trained programming language model, which enables a wide range of code intelligence applications including code understanding and generation tasks. CodeT5 achieves state-of-the-art performance on 14 sub-tasks in the CodeXGLUE code intelligence benchmark. Given the goal of improving software development productivity with

03 Sep 2021 • #code-intelligence