Statistics for topic mlops
RepositoryStats tracks 595,858 Github repositories, of these 421 are tagged with the mlops topic. The most common primary language for repositories using this topic is Python (202). Other languages include: Jupyter Notebook (83), Go (27), TypeScript (13), HTML (11)
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
👕 An open-source course that will teach you how to build and deploy a real-time personalized recommender for H&M fashion articles.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Turns Data and AI algorithms into production-ready web applications in no time.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
👕 An open-source course that will teach you how to build and deploy a real-time personalized recommender for H&M fashion articles.
Blackdagger is a DAG-based automation tool specifically used in DevOps, DevSecOps, MLOps, MLSecOps, and Continuous Red Teaming (CART).
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
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.
Template for a new generative ai project using streamlit, fastapi, llms (cloud & local) with evaluation & redteaming tools
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
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Label Studio is a multi-type data labeling and annotation tool with standardized output format
👕 An open-source course that will teach you how to build and deploy a real-time personalized recommender for H&M fashion articles.
Template for a new generative ai project using streamlit, fastapi, llms (cloud & local) with evaluation & redteaming tools
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
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.
JavaScript client library for MLflow, providing functionalities for machine learning lifecycle
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
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...
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，日志记录与可视化AI训练全流程。
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...