Popular GitHub Repositories for Aggregation Pipleline

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

[AAAI2024] FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

Sequence Level Semantics Aggregation for Video Object Detection

An integrated framework in R for textual sentiment time series aggregation and prediction

【AAAI2025】MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

Streamline your organization's communication with our advanced AI-powered news aggregation platform. Collect, analyze, and summarize information from multiple sources in real-time.

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

Codebase topic modeling using GNNs(Node aggregation and clustering)