Popular GitHub Repositories for Consensus

一种基于迭代多大型语言模型的共识框架，用于提高单细胞RNA测序数据中细胞类型注释的准确性

PyTorch per step fault tolerance (actively under development)

llm-consortium orchestrates mulitple LLMs, iteratively refines & achieves consensus.

Implementation of "Deep Graph Matching Consensus" in PyTorch

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning framework with Committee consensus (BFLC). Without a centralized server, the framework uses blockchain for the global model storage and the local model update exchange.

Caribou: Distributed Smart Storage built with FPGAs

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

基于ZooKeeper一致性协议的分布式序列生成器

This is the source code repository for the ICCV 2017 paper "Consensus Convolutional Sparse Coding".

A launch pad to spin chaoschain with a given configuration of AI Agents

Flare AI Kit template for Consensus Learning ??

A personality-aware group recommendation system based on pairwise preferences

Build an enterprise-level multi-agent framework for efficient, secure, and scalable task collaboration, supporting complex task decomposition, dynamic resource allocation, and cross-system integration.

?开源一个我自己用来做论文初筛，利用ChatGPT 商店中的Consensus，做论文总结的提示词。以我的经营学专业和我的研究课题为例。

A Python simulator for decentralized federated learning systems, supporting PoW, PoS, and committee-based consensus, multiple validation and aggregation methods, and malicious trainer behaviors like label flipping. Enables IID and N-IID data setups for flexible testing and analysis of system resilience.

HyperCortex Mesh Protocol (HMP): decentralized cognitive mesh for AI agents

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.