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2021_aiac_task2_1st

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.

2021_ccf_bdci_largebert_rank1st

air

angel

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

cafe

[SIGMOD 2024] CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

cuwide

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs. [TKDE 2021] [ICDE 2021]

dbtune

A customized and efficient database tuning system [VLDB'22]

dfg-nas

ICML‘22 DF-GNAS

dgmlp

gamlp

Code of GAMLP for Open Graph Benchmark. KDD‘22

gnn-in-rs

GNN in Recommendation System (ACM Computing Surveys 2022)

hetu

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

hetu-galvatron

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

hgamlp

HGAMLP: A Scalable Training Framework for Heterogeneous Graph Neural Networks

hivedscheduler

Kubernetes Scheduler for Deep Learning [OSDI 2020]

hypertune

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

igp

Active Learning for GNN (ICLR'22)

knobstuningea

An Experimental Evaluation for Database Configuration Tuning

lasagne

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture [TKDE 2021]

mevi

[NeurIPS 2023] Model-enhanced Vector Index

mfes-hb

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

mindware

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

nafs

ICML‘22 NAFS

ndls

Node Dependent Local Smoothing for Scalable Graph Learning(NeurIPS'21, Spotlight)

nnfusion

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description. [OSDI 2020]

open-box

Generalized and Efficient Blackbox Optimization System

partial-reduce

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce [SIGMOD 2021]

rag-survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

rim

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

rod

ROD: Reception-aware Online Distillation for Sparse Graphs [KDD 2021]