Trending repositories for topic mlops
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
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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/
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
An orchestration platform for the development, production, and observation of data assets.
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
An awesome & curated list of best LLMOps tools for developers
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
👕 An open-source course that will teach you how to build and deploy a real-time personalized recommender for H&M fashion articles.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
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.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
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...
⚡️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。
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
A curated list of open source tools used in analytics platforms and data engineering ecosystem
Turns Data and AI algorithms into production-ready web applications in no time.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
An orchestration platform for the development, production, and observation of data assets.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckD...
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
An awesome & curated list of best LLMOps tools for developers
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Learn how to design, develop, deploy and iterate on production-grade ML applications.
👕 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.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
An opinionated framework for deploying, managing, and serving application workloads
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
A curated list of awesome open source and commercial platforms for serving models in production 🚀
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Build reliable, secure, and production-ready AI apps easily.
⚡️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。
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Start building and deploying Python packages and Docker images for MLOps tasks.
A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
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
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
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/
An orchestration platform for the development, production, and observation of data assets.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
👕 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.
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
JavaScript client library for MLflow, providing functionalities for machine learning lifecycle
Blackdagger is a DAG-based automation tool specifically used in DevOps, DevSecOps, MLOps, MLSecOps, and Continuous Red Teaming (CART).
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
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 tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of vLLM).
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Open source AI platform for rapid development of advanced AI and AGI pipelines.
A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AW...
Build reliable, secure, and production-ready AI apps easily.
🤖 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.
🤖 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
Start building and deploying Python packages and Docker images for MLOps tasks.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
A curated list of open source tools used in analytics platforms and data engineering ecosystem
👕 An open-source course that will teach you how to build and deploy 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 tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of vLLM).
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs
Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
To simplify and streamline LLM operations, empowering developers and organizations to harness the full potential of large language models with ease.
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
Label Studio is a multi-type data labeling and annotation tool with standardized output format
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 ...
Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
An orchestration platform for the development, production, and observation of data assets.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
🦖 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�...
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国...
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
An awesome & curated list of best LLMOps tools for developers
🤖 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 ...
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs
A Git-like Version Control File System for AI & Data Product Management.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
A curated list of open source tools used in analytics platforms and data engineering ecosystem
Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.
Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
Open source AI platform for rapid development of advanced AI and AGI pipelines.
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
🦄 Unitxt: a python library for getting data fired up and set for training and evaluation
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.