ml-engineering
There are 51 repositories under ml-engineering topic.
bentoml/BentoML
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
tensorzero/tensorzero
data & learning flywheel for LLM systems
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.
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
koushikvikram/anomaly-detection-platform
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
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.
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.
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.
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
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, ...
d-kleine/AZ_ML-Engineering
ML Engineering with MS Azure
davide-burba/news-classifier
Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
MaxGdr/Plagiarism_Detector
plagiarism detector that examines a text file and performs binary classification; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text. Detecting plagiarism is an active area of research; the task is non-trivial and the differences between paraphrased answers and original work are often not so obvious.
Md-Emon-Hasan/BentoML
BentoML is a high-performance model serving framework it provides various scripts and configurations to help streamline and deployment process.
Md-Emon-Hasan/CircleCI-Demo
Demonstrate the key features and benefits of using CircleCI for continuous integration and continuous deployment (CI/CD).
SmartSecLab/ML-enabled-software-literature-review
State-of-the-art and Challenges of Engineering ML-enabled Software Systems
ThilinaSatoru/Kids_Care_AI
Kids Care AI IOT Device - RaspberryPi USB Mic voice detection and Picamera fall detection.
anastasiamkh/aws-dataflow-simulator
Python package that simplifies the creation of AWS infrastructure for simulating real-time data streaming and batch processing, ideal for integrating into machine learning projects.
arjunraj79/Custom_NIDS_with_ML
A simple Python script to check the strength of a password based on length, the inclusion of numbers, special characters, and upper/lower case letters.
daniel-lima-lopez/Tiktok-data-analysis
Example of a typical Machine Learning engineering problem