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Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs).

Python 159 10 Updated Jul 2, 2025

A comprehensive guide for beginners in the field of data management and artificial intelligence.

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SysBench: Can Large Language Models Follow System Messages?

Python 31 2 Updated Sep 4, 2024

A Flexible and Powerful Parameter Server for large-scale machine learning

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A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

Python 154 22 Updated May 10, 2024

Implementation of MFES-HB [AAAI'21] along with Hyperband and BOHB

Python 5 1 Updated Sep 28, 2021

Active Learning for GNN (ICLR'22)

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Code of GAMLP for Open Graph Benchmark. KDD‘22

Python 62 8 Updated Jun 25, 2022

RIM: Reliable Influence-based Active Learning on Graphs (NeurIPS'21 Spotlight)

2 Updated Oct 27, 2021

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Python 56 9 Updated Nov 16, 2021

Efficient Hyper-parameter Tuning at Scale (VLDB'22)

Python 8 2 Updated Dec 1, 2021

QQ浏览器2021AI算法大赛赛道二 第1名 方案. Rank 1st solution to QQ Browser 2021 AI Algorithm Competition (CIKM AnalytiCup 2021) Track 2 Automated Hyperparameter Optimization.

Python 26 6 Updated Dec 7, 2021

An Experimental Evaluation for Database Configuration Tuning

ReScript 25 15 Updated Mar 15, 2022

A new CardEst Benchmark to Bridge AI and DBMS

Python 125 39 Updated Mar 14, 2023

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

Python 311 34 Updated Apr 21, 2025

A Flexible and Powerful Parameter Server for large-scale machine learning

Java 1 Updated Jul 18, 2017

Generalized and Efficient Blackbox Optimization System

Python 413 55 Updated Oct 17, 2024

Generalized and Efficient Blackbox Optimization System.

Python 83 82 Updated Feb 21, 2023

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Python 61 28 Updated Jan 26, 2022

a distributed deep learning platform

C++ 3,470 1,282 Updated Jun 10, 2025
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