#Mlops
Showing 60 of 368 repositories tagged #mlops, ranked by stars
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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/
Label Studio is a multi-type data labeling and annotation tool with standardized output format
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
โ๏ธ Build multimodal AI applications with cloud-native stack
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Turns Data and AI algorithms into production-ready web applications in no time.
Machine Learning Engineering Open Book
The absolute trainer to light up AI agents.
Workflow Engine for Kubernetes
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 cloud-native databaseโ.
An orchestration platform for the development, production, and observation of data assets.
Free MLOps course from DataTalks.Club
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A curated list of references for MLOps
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
Always know what to expect from your data.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
Build, Manage and Deploy AI/ML Systems
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Evidently is โโan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
The Open Source Feature Store for AI/ML
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Aim ๐ซ โ An easy-to-use & supercharged open-source experiment tracker.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A curated list of Artificial Intelligence Top Tools
๐ข Open-Source Evaluation & Testing library for LLM Agents
ZenML ๐: One AI Platform from Pipelines to Agents. https://zenml.io.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. โก๐ฅโก
Superduper: End-to-end framework for building custom AI applications and agents.
:sunglasses: A curated list of awesome MLOps tools
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
cube studioๅผๆบไบๅ็ไธ็ซๅผๆบๅจๅญฆไน /ๆทฑๅบฆๅญฆไน /ๅคงๆจกๅAIๅนณๅฐ๏ผmlops็ฎๆณ้พ่ทฏๅ จๆต็จ๏ผ็ฎๅ็ง่ตๅนณๅฐ๏ผnotebookๅจ็บฟๅผๅ๏ผๆๆๆฝไปปๅกๆตpipeline็ผๆ๏ผๅคๆบๅคๅกๅๅธๅผ่ฎญ็ป๏ผ่ถ ๅๆ็ดข๏ผๆจ็ๆๅกVGPU่ๆๅ๏ผ่พน็ผ่ฎก็ฎ๏ผๆ ๆณจๅนณๅฐ่ชๅจๅๆ ๆณจ๏ผdeepseek็ญๅคงๆจกๅsftๅพฎ่ฐ/ๅฅๅฑๆจกๅ/ๅผบๅๅญฆไน ่ฎญ็ป๏ผvllm/ollama/mindieๅคงๆจกๅๅคๆบๆจ็๏ผ็งๆ็ฅ่ฏๅบ๏ผAIๆจกๅๅธๅบ๏ผๆฏๆๅฝไบงcpu/gpu/npu ๆ่ พ็ๆ๏ผๆฏๆRDMA๏ผๆฏๆpytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano็ญๅๅธๅผ
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
Serve, optimize and scale PyTorch models in production
Machine Learning Pipelines for Kubeflow
โก๏ธSwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Maestro: Netflixโs Workflow Orchestrator
AI Infra / AI Orchestration / AI Control Plane
A collection of scientific methods, processes, algorithms, and systems to build stories & models.