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Machine Learning Engineering Open Book
training debugging machine-learning ai storage network scalability transformers slurm inference pytorch machine-learning-engineering gpus mlops large-language-models llm
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.
python machine-learning data-pipelines hacktoberfest machine-learning-engineering mlops kedro agentic-workflow agentic-ai
😎 A curated list of awesome MLOps 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 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
docker aws course infrastructure-as-code machine-learning-engineering comet-ml rag mlops pulumi qdrant large-language-models bytewax generative-ai qwak llmops ml-system-design superlinked
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
data-science machine-learning course deep-learning notes coursera andrew-ng machine-learning-engineering mlops ml-engineering deeplearningai machine-learning-ops ml-engineering-for-production
Frouros: an open-source Python library for drift detection in machine learning systems.
python machine-learning statistics concept-drift machine-learning-engineering mle change-detection covariate-shift mlops drift-detection machine-learning-operations data-drift distribution-shift dataset-drift dataset-shift
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
computer-vision system-design machine-learning-engineering mlops large-language-models ml-system-design
A comprehensive solution for monitoring your AI models in production
data-science machine-learning ai monitoring artificial-intelligence observability machine-learning-engineering data-drift ai-monitoring ml-observability ai-observability llm-observability
A robust (🐢) and fast (🐇) MLOps tool for managing data and pipelines in Rust (🦀)
rust devops data-science data machine-learning data-engineering command-line-tool data-pipelines machine-learning-engineering mlops
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
python machine-learning deep-learning pytorch neural-networks machine-learning-api machine-learning-engineering machine-learning-deploy
An open-source platform for building, fine-tuning, evaluating, and deploying AI models.
training machine-learning ai models dataset optimiser datasets diy-tool machine-learning-models machine-learning-engineering artifical-intelligense training-data mlops qauntum artifical-intelligence artifical-general-inteligence mlops-workflow localai localai- localai-agents
My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
python docker kubernetes machine-learning deep-learning aws-lambda deployment aws-ec2 tensorflow-serving machine-learning-engineering aws-fargate tflite bentoml kserve
agent-replay is a 100% local, SQLite-powered CLI tool for time-travel debugging AI agents that lets you replay execution traces, diff behavioral changes, fork runs to test fixes, and run AI-powered evaluations or safety guardrails to eliminate hallucinations and production failures.
cli typescript sqlite developer-tools regression-testing ai-agents machine-learning-engineering rag guardrails local-first trace-analysis ai-evaluation prompt-engineering hallucination-detection agentic-workflows
HMA (Humanize MLE Agents): alternating native coding agents over a shared workspace on MLE-bench — paper experiment code
multi-agent reproducibility agents humanize machine-learning-engineering llm-agents coding-agents mle-bench
End-to-end Email Spam Detection system using Machine Learning and NLP, featuring TF-IDF, Logistic Regression, threshold optimization, and a FastAPI-based real-time inference API.
python nlp api natural-language-processing text-classification logistic-regression machine-learning-engineering model-deployment spam-detection-machine-learning tfidf-vectorizer fastapi ml-engineering
A Helm chart containing Kubeflow Pipelines as a standalone service.
machine-learning workflow-engine machine-learning-engineering mlops kubeflow-pipelines mlops-workflow
Become a production-grade ML Engineer. An open-source curriculum covering math foundations, classical ML, Deep Learning, Transformers, LLMs, Computer Vision, NLP, Reinforcement Learning, MLOps, and production deployment. Built with clean code, interactive notebooks, visual guides, and real-world project portfolios.
python data-science machine-learning natural-language-processing roadmap reinforcement-learning computer-vision deep-learning tensorflow scikit-learn mathematics transformers pytorch neural-networks machine-learning-engineering mlops llm generative-ai data-science-roadmap
A solar-powered IoT and machine-learning system that monitors water quality in real time and recommends suitable aquaculture species for fishponds.
internet-of-things machine-learning-api machine-learning-engineering machine-learning-projects water-quality-monitoring solar-powered
End-to-end ML project for tabular data.
docker data-science machine-learning tabular-data hyperparameter-optimization machine-learning-engineering machine-learning-projects feature-store machine-learning-testing optuna mlops-template
Machine Learning for Production Specialization
python machine-learning production coursera hacktoberfest machine-learning-engineering mlops mooc-solutions
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