ml-engineering
There are 67 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
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.
hurutoriya/mlops-case-study
MLOps Case Study
jmeisele/fastapi-ml-scaffolding
Scaffolding for serving ml model APIs using FastAPI
jmeisele/ml-ops-kafka
Kafka variant of the MLOps Level 1 stack
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 ⚡️🤖
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.
ES7/ML-Algorithms
In this repository I have explained different ML Algorithms with their code.
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.
AIFlowML/hyperparams
HyperParams: A Decentralized Framework for AI Agent Assessment and Certification
deepmancer/deepmancer
"When in doubt, use brute force." - Ken Thompson
gershonc/mlflow_showcase
Showcase of MLflow capabilities
MurtazaNaiyar/ML-Engineering
All About ML Engineering
bhaskar9221/Machine-Learning-Projects
This is my Repository for Deep Learning Project and Works
d-kleine/AZ_ML-Engineering
ML Engineering with MS Azure
davidhaas6/distributed-task-server
A task queue enabling websites to serve ML models -- with RabbitMQ, Celery, all the good stuff.
JoseJuan98/ml-regression-project-california-housing
ML project to showcase a high quality work for producing a successful and resilient Machine Learning system, analysis, engineering, ...
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.
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.
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.
EmmanuelEzenwere/ERpager
Machine Learning NLP Web Application to Extract, Transform and Load (ETL) Twitter Messages into an SQL database and classify messages into response categories for First Responders, Disaster Response Organisations and Emergency Response Personnels during Disasters.