Machine Learning Engineering Open Book
training machine-learning ai scalability transformers slurm inference pytorch machine-learning-engineering mlops large-language-models llm
-
Updated
Oct 16, 2025 - Python
#
machine-learning-engineering
Here are 58 public repositories matching this topic...
Sort: Most stars
Sort options
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 pipeline hacktoberfest machine-learning-engineering mlops kedro experiment-tracking
-
Updated
Oct 17, 2025 - Python
π A curated list of awesome MLOps tools
-
Updated
Jul 11, 2025 - Python
π€ 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
-
Updated
Apr 26, 2025 - Python
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
-
Updated
May 17, 2023
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
-
Updated
Sep 10, 2025 - Python
π» 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
-
Updated
Mar 6, 2025 - Jupyter Notebook
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
-
Updated
Oct 3, 2025 - Python
A robust (π’) and fast (π) MLOps tool for managing data and pipelines in Rust (π¦)
rust devops data-science data machine-learning data-engineering command-line-tool data-pipelines machine-learning-engineering mlops
-
Updated
Sep 13, 2025 - Rust
AI-Powered Financial Asset Forecasting: Predicts long-term US stock prices using AI. Integrates news sentiment, technical indicators, candlestick patterns, and fundamental analysis. Provides comprehensive insights for informed financial decision-making. Customizable data collection and analysis for investors and researchers.
-
Updated
May 16, 2025 - Python
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
-
Updated
Dec 2, 2020 - Jupyter Notebook
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
-
Updated
Aug 8, 2023 - Jupyter Notebook
A Helm chart containing Kubeflow Pipelines as a standalone service.
machine-learning workflow-engine machine-learning-engineering mlops kubeflow-pipelines mlops-workflow
-
Updated
May 1, 2023
This repository contains examples of using various libraries/tools for MLOps.
docker flask data-science machine-learning airflow luigi machine-learning-engineering mle dvc mlops mlflow redisai machinelearningengineering mlops-workshop
-
Updated
Apr 22, 2022 - Python
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
reinforcement-learning deep-learning algorithms openai-gym policy policy-gradient machine-learning-engineering trpo proximal-policy-optimization ppo self-play dota2-bot openai-five
-
Updated
Jun 20, 2018 - Python
Machine Learning for Production Specialization
python machine-learning production coursera hacktoberfest machine-learning-engineering mlops mooc-solutions
-
Updated
Oct 3, 2022
The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. ππππ¨βπ»
programming communication exploratory-data-analysis machine-learning-algorithms data-visualization seaborn statistical-analysis synthesis python-3 feature-engineering jupyter-notebooks creativity mathematical-modelling model-evaluation machine-learning-engineering model-interpretation matplotlib-pyplot client-communication hypothesis-framing business-understanding
-
Updated
Jun 2, 2025 - Jupyter Notebook
π Fruits Classification App (Streamlit) π
python machine-learning prototype deep-learning tensorflow numpy logging plotly keras image-processing pandas image-classification convolutional-neural-networks machine-learning-engineering mlops streamlit streamlit-application
-
Updated
Oct 28, 2024 - Python
Cheatsheet for Machine Learning Engineer.
-
Updated
Mar 20, 2025 - Shell
ML System - Model Deployment & Lifecycle Management
-
Updated
Feb 25, 2025 - Python
Improve this page
Add a description, image, and links to the machine-learning-engineering topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the machine-learning-engineering topic, visit your repo's landing page and select "manage topics."