Statistics for topic mlops
RepositoryStats tracks 518,325 Github repositories, of these 375 are tagged with the mlops topic. The most common primary language for repositories using this topic is Python (179). Other languages include: Jupyter Notebook (73), Go (27)
Stargazers over time for topic mlops
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A high-throughput and memory-efficient inference and serving engine for LLMs
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management...
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
A high-throughput and memory-efficient inference and serving engine for LLMs
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Label Studio is a multi-type data labeling and annotation tool with standardized output format
🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
Open source AI platform for rapid development of advanced AI and AGI pipelines.
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management...
A high-throughput and memory-efficient inference and serving engine for LLMs
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Turns Data and AI algorithms into production-ready web applications in no time.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
Open source AI platform for rapid development of advanced AI and AGI pipelines.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦�...
:closed_book: Clarity in the current fast-paced mess of Open Source innovation
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
A high-throughput and memory-efficient inference and serving engine for LLMs
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
Turns Data and AI algorithms into production-ready web applications in no time.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalab...
:closed_book: Clarity in the current fast-paced mess of Open Source innovation
Tools for easing the handoff between AI/ML and App/SRE teams.
Turns Data and AI algorithms into production-ready web applications in no time.