Statistics for topic mlops
RepositoryStats tracks 579,129 Github repositories, of these 410 are tagged with the mlops topic. The most common primary language for repositories using this topic is Python (196). Other languages include: Jupyter Notebook (82), Go (27), TypeScript (11)
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AI-data warehouse to enrich, transform and analyze data from cloud storages
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A high-throughput and memory-efficient inference and serving engine for LLMs
Turns Data and AI algorithms into production-ready web applications in no time.
AI-data warehouse to enrich, transform and analyze data from cloud storages
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
AI-data warehouse to enrich, transform and analyze data from cloud storages
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A high-throughput and memory-efficient inference and serving engine for LLMs
Turns Data and AI algorithms into production-ready web applications in no time.
AI-data warehouse to enrich, transform and analyze data from cloud storages
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Turns Data and AI algorithms into production-ready web applications in no time.
A high-throughput and memory-efficient inference and serving engine for LLMs
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
AI-data warehouse to enrich, transform and analyze data from cloud storages
Label Studio is a multi-type data labeling and annotation tool with standardized output format
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
AI-data warehouse to enrich, transform and analyze data from cloud storages
Securely share and store AI/ML projects as OCI artifacts in your container registry.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
AI-data warehouse to enrich, transform and analyze data from cloud storages
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Ollama, etc s...
A high-throughput and memory-efficient inference and serving engine for LLMs
Turns Data and AI algorithms into production-ready web applications in no time.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Ollama, etc s...
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Securely share and store AI/ML projects as OCI artifacts in your container registry.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>