ml-engineering
There are 65 repositories under ml-engineering topic.
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
tensorzero/tensorzero
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
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
ml4devs/ml4devs-notebooks
Companion notebooks for blogs/tutorials on ML4Devs website.
koushikvikram/anomaly-detection-platform
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
aws-samples/amazon-sagemaker-predict-accessibility
Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
knap-ai/knapsack
Fast, private data connectors for AI ⚡️🤖
AlexIoannides/notes-and-demos
Study notes and demos.
gdmarmerola/big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
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.
akashsonowal/interview-prep
Crack SWE (ML) / DS MAANG Interviews
ES7/ML-Algorithms
In this repository I have explained different ML Algorithms with their code.
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.
daniel-lima-lopez/Tiktok-data-analysis
Example of a typical Machine Learning engineering problem
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.
Md-Emon-Hasan/Building-Gen-AI-App-12-with-Gemini-Pro
This repository contains 12+ hands-on projects built using Google Gemini Pro, Gemini Flash, and Gemini Pro 1.5 models. It covers fine-tuning, training, and deploying generative AI applications for text generation, image synthesis, language translation, chatbots, and more.
ThilinaSatoru/Kids_Care_AI
Kids Care AI IOT Device - RaspberryPi USB Mic voice detection and Picamera fall detection.