collaborative-optimization 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
Collective Knowledge 扩展，提供统一且可定制的基准测试（可扩展的 JSON 元信息），方便与可定制且可移植的 Collective Knowledge 工作流程集成。你可以用不同的编译器、环境、硬件和操作系统（Linux、MacOS、Windows、Android）轻松编译和运行这些基准测试。更多信息：
Integration of Caffe2 to Collective Knowledge workflow framework to provide unified CK JSON API for AI (customized builds across diverse libraries and hardware, unified AI API, collaborative experiments, performance optimization and model/data set tuning):
Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework:
Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
Cohortz & Kohortz - Collaboration Portal
Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:
Public results in the Collective Knowledge Format (JSON meta data) from collaborative optimization of computer systems. See live repository: