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Name: DAIR Lab
Type: Organization
Bio: Data and Intelligence Research (DAIR) Lab @ Peking University
Location: Beijing
Name: DAIR Lab
Type: Organization
Bio: Data and Intelligence Research (DAIR) Lab @ Peking University
Location: Beijing
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.
A Flexible and Powerful Parameter Server for large-scale machine learning
[SIGMOD 2024] CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs. [TKDE 2021] [ICDE 2021]
A customized and efficient database tuning system [VLDB'22]
ICML‘22 DF-GNAS
Code of GAMLP for Open Graph Benchmark. KDD‘22
GNN in Recommendation System (ACM Computing Surveys 2022)
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
Galvatron is an automatic distributed training system designed for Transformer models, including Large Language Models (LLMs).
HGAMLP: A Scalable Training Framework for Heterogeneous Graph Neural Networks
Kubernetes Scheduler for Deep Learning [OSDI 2020]
Efficient Hyper-parameter Tuning at Scale (VLDB'22)
Active Learning for GNN (ICLR'22)
An Experimental Evaluation for Database Configuration Tuning
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture [TKDE 2021]
[NeurIPS 2023] Model-enhanced Vector Index
Implementation of MFES-HB [AAAI'21] along with Hyperband and BOHB
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
ICML‘22 NAFS
Node Dependent Local Smoothing for Scalable Graph Learning(NeurIPS'21, Spotlight)
A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description. [OSDI 2020]
Generalized and Efficient Blackbox Optimization System
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce [SIGMOD 2021]
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: Reliable Influence-based Active Learning on Graphs (NeurIPS'21 Spotlight)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.