Statistics for topic mlops
RepositoryStats tracks 608,298 Github repositories, of these 425 are tagged with the mlops topic. The most common primary language for repositories using this topic is Python (204). Other languages include: Jupyter Notebook (83), Go (27), TypeScript (13), HTML (12)
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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.
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
Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
A curated list of open source tools used in analytics platforms and data engineering ecosystem
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bo...
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.
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
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.
A curated list of open source tools used in analytics platforms and data engineering ecosystem
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
A high-throughput and memory-efficient inference and serving engine for LLMs
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.
Template for a new generative ai project using streamlit, fastapi, llms (cloud & local) with evaluation & redteaming tools
🤖 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
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
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
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
🤖 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...
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...