ml-engineering
There are 90 repositories under ml-engineering topic.
tensorzero/tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
business-science/ai-data-science-team
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
vukrosic/ultimate-ai-research-and-engineering-course
Ultimate AI research and engineering course
ZenithClown/ai-ml-project-template
A "production-ready" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory structure.
jmeisele/ml-ops-kafka
Kafka variant of the MLOps Level 1 stack
jmeisele/fastapi-ml-scaffolding
Scaffolding for serving ml model APIs using FastAPI
hurutoriya/mlops-case-study
MLOps Case Study
demml/opsml
Quality Control for AI Artifact Management
koushikvikram/anomaly-detection-platform
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
ml4devs/ml4devs-notebooks
Companion notebooks for blogs/tutorials on ML4Devs website.
knap-ai/knapsack
Fast, private data connectors for AI ⚡️🤖
aisingapore/bmad-aisg-aiml
BMAD AI/ML Engineering Expansion Pack - Streamlined framework for AI Singapore programs (MVP, POC, SIP, LADP) with specialized agents, workflows, and templates for ML/LLM development
aws-samples/amazon-sagemaker-predict-accessibility
Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
gdmarmerola/big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
AlexIoannides/notes-and-demos
Study notes and demos.
abhijeetgupta23/Box-Detection-in-Warehouse-using-Vision-Based-ML-Engineering
This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.
jesussantana/DeepLearning.AI-Introduction-to-Machine-Learning-in-Production
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
lfunderburk/fuel-electric-hybrid-vehicle-ml
Vehicle data classification (supervised, unsupervised learning)
Nikolay-Lysenko/servifier
An easy-to-use tool for making web service with API from your own Python functions.
0-mostafa-rezaee-0/ML_API_with_FastAPI_and_Docker
ML Engineering best practices | ML model deployment as a FastAPI service, containerized with Docker for scalability and reproducibility.
0-mostafa-rezaee-0/ML_API_with_PostgreSQL_Integration
ML Engineering best practices | Deploying an ML API with FastAPI, PostgreSQL, and Docker for scalable model storage and inference.
ES7/ML-Algorithms
In this repository I have explained different ML Algorithms with their code.
AIFlowML/hyperparams
HyperParams: A Decentralized Framework for AI Agent Assessment and Certification
akashsonowal/interview-prep
Crack SWE (ML) / DS MAANG Interviews
murphy999/Udacity-Azure-ML-Scholarship
The work shown in this repository is part of the Udacity scholarship program in collaboration with Microsoft for Machine Learning Engineer Nanodegree.
deepmancer/deepmancer
"When in doubt, use brute force." - Ken Thompson
gershonc/mlflow_showcase
Showcase of MLflow capabilities
MurtazaNaiyar/ML-Engineering
All About ML Engineering
souravlouha/ML_Practice_Studio
🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.
Md-Emon-Hasan/ML-Project-Intrusion-Detection-Systems-Anomaly-Detection-with-ML-DL
🔒 Leverages Machine Learning and Deep Learning models to identify malicious activities in network traffic, enhancing cybersecurity.
Rudra-G-23/100-Days-of-ML
A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.
taed2-2425q1-gced-upc/TAED2_Mates
This project fine-tunes a MobileNetV2 model for dog breed classification using labeled image data. It emphasizes strong software engineering practices such as version control, modular code, and continuous integration, ensuring a scalable, maintainable machine learning pipeline with experiment tracking.