Open source MLOps tooling Charmed Kubeflow Develop and deploy models with automated workflows. Charmed Kubeflow is an end-to-end MLOps platform designed to run AI at scale. It is the foundation of Canonical MLOps and seamlessly integrates with other big data and machine learning tools. What ...
Multi AI is an open-source platform that harnesses the power of artificial intelligence (AI) technology to foster collaboration and create a robust community on the Web 3.0 platform. This project is driven by the vision of bringing people from around the world together, empowering them with AI ...
China launched an artificial intelligence (AI) open-source platform Saturday to jointly promote the global development of the booming industry. The research and development of the Dubhe platform was started in October 2018, with nearly 100 researchers involved in the project. It aims to become an ...
AI Platform is an open source platform for automating machine learning models (aka tasks) while MLflow is open source platform for the machine learning lifecycle. AI Platform focuses on automating tasks while MLflow focuses on managing and deploying models. AI Platform focuses on automating model bui...
1.GitHub 2.Source Forge 3.Tensor Flow 4.Theano 5.OpenCog 6.Crowd Sourced 7.FACETS 8.Intelligence Realm 9.DeepDive 10.H2O.ai 11.UIMA 12.SystemDL 13.QAQA 14.Watson API 15.OpenCL 16.Caffeon Spark 17.Co…
上，作为由微软亚洲研究院为该平台提供的三大关键技术之一，Open Platform for AI（OpenPAI）也受瞩目。
4.SpiNNaker 5.Eyeriss 6.EIE 7.BigSur 8.Convolution Engine 9.MAPPING THE CORTEX ELECTRICAL ACTIVITY(IARPA) 10.Facebook AI Research 11.Mycroft : KickStarter /RAspberry Pi /Arduino 12.MICrONS 13.Jasper 14.System ML 15.DSSTNE 16 DARPA XDATA...
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TaskingAIis a BaaS (Backend as a Service) platform forLLM-based Agent Development and Deployment. It unified the integration of hundreds of LLM models, and provides an intuitive user interface for managing your LLM application's functional modules, including tools, RAG systems, assistants, conversat...
Generative AI is the future and developers can choose from many open source platforms to build and deploy AI models. In fact, they may even face the problem of plenty.