ml-engineering

There are 2 repositories under ml-engineering topic.

BentoML
bentoml / BentoML
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
deep-learning generative-ai inference-platform llm llm-inference llm-serving llmops machine-learning ml-engineering mlops model-inference-service model-serving multimodal python
Language:Python 6624
kennethleungty / MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
mlops machine-learning-engineering andrew-ng deeplearningai coursera machine-learning machine-learning-ops ml-engineering ml-engineering-for-production deep-learning notes course data-science
339
hurutoriya / mlops-case-study
MLOps Case Study
mlops awesome datascience ml-engineering machine-learning
22
jmeisele / fastapi-ml-scaffolding
Scaffolding for serving ml model APIs using FastAPI
machine-learning engineering data-science ml-engineering
Language:Python 22
jmeisele / ml-ops-kafka
Kafka variant of the MLOps Level 1 stack
kafka machine-learning ml-engineering data-science mlops fastapi airflow minio influxdb python grafana mlflow prometheus
Language:Python 21
ai-ml-project-template
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.
deep-learning jupyter-notebook keras ml-engineering ml-platform ml-production ml-project ml-roadmap mlops template tensorflow
18
ml4devs / ml4devs-notebooks
Companion notebooks for blogs/tutorials on ML4Devs website.
data-engineering data-science machine-learning ml-engineering
Language:Jupyter Notebook 14
aws-samples / amazon-sagemaker-predict-accessibility
Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
sagemaker sagemaker-deployment autopilot glue athena etl-pipeline etl-solutions ml-engineering serverless
Language:Jupyter Notebook 13
notes-and-demos
AlexIoannides / notes-and-demos
Study notes and demos.
data-science python data-engineering ml-engineering mlops
12
gdmarmerola / big-data-ml-training
Code for "Training models when data doesn't fit in memory" post
machine-learning dask-distributed dask-ml dask ml-engineering
Language:Jupyter Notebook 10
anomaly-detection-platform
koushikvikram / anomaly-detection-platform
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
docker grafana prometheus jupyter-notebook python anomaly-detection machine-learning mlops fastapi ml-platform ml-engineering caddy ml-deployment koushik-vikram koushikvikram dashboard real-time-machine-learning real-time-monitoring ml-monitoring
Language:Jupyter Notebook 10
lfunderburk / fuel-electric-hybrid-vehicle-ml
Vehicle data classification (supervised, unsupervised learning)
consumer-insights data-pipeline ml-engineering ml-ops sustainability-analysis
Language:Jupyter Notebook 9
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.
ml-lifecycle ml-deployment machine-learning ml-engineering mlops
Language:Jupyter Notebook 8
Nikolay-Lysenko / servifier
An easy-to-use tool for making web service with API from your own Python functions.
api-maker web-service model-to-production ml-engineering apify
Language:Python 8
knap-ai / knapsack
Fast, private data connectors for AI ⚡️🤖
artificial-intelligence data-engineering ml-engineering
Language:Python 6
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.
computer-vision docker fastapi machine-learning ml-engineering mlops object-detection
Language:Jupyter Notebook 4
akashsonowal / interview-prep
Crack SWE (ML) / DS MAANG Interviews
python jax pytorch tensorflow algorithms data-structures ml-engineering mlops large-scale-machine-learning distributed-systems
Language:Python 4
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.
azure azureml ml ml-engineering mlops
Language:Jupyter Notebook 4
gershonc / mlflow_showcase
Showcase of MLflow capabilities
ml ai mlflow tracking-algorithm ml-infrastructure ml-engineering ml-pipeline model-deployment model-development model-testing
Language:Jupyter Notebook 3
MurtazaNaiyar / ML-Engineering
All About ML Engineering
data-science ml-engineering machine-learning
Language:Python 3
bhaskar9221 / Machine-Learning-Projects
This is my Repository for Deep Learning Project and Works
classification classification-model machine-learning ml-engineering regression regression-models supervised-learning unsupervised-learning
Language:Jupyter Notebook 2
davidhaas6 / distributed-task-server
A task queue enabling websites to serve ML models -- with RabbitMQ, Celery, all the good stuff.
celery fastapi rabbitmq ml-engineering
Language:Python 2
davide-burba / news-classifier
Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
machine-learning ml-engineering nlp text-classification
Language:Python 1
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.
course-project nanodegree ml-engineering deeplearning
Language:Jupyter Notebook 1
d-kleine / AZ_ML-Engineering
ML Engineering with MS Azure
automl azure hyperdrive ml-engineering mlops
Language:Jupyter Notebook 0
nuvita97 / disaster_response_pipeline_project
A project to build an ETL pipeline and ML application to help respond to disaster events faster
data-engineering etl-pipeline flask ml-engineering python text-classification
Language:Python 0
Andrei-Lock / Theme-Of-Videos
This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.
data-science ml-engineering
Language:Python
cnstll / detect_synthetic_news
Detecting News Generated by LLMs
docker fastapi llms ml-engineering sqlalchemy gradio
Language:Python
IPodtsepko / jpeg-transcoding
Research on the topic "Transcoding JPEG images using prediction of DCT coefficients based on a neural network".
coding-theory image-processing information-theory jpeg machine-learning ml ml-engineering research research-project transcoding
Language:C++
ndleah / disaster-response
⛰️ machine learning pipeline for disaster alert
databases etl-pipeline flask-sqlalchemy machine-learning ml-engineering ml-pipeline
Language:Python
rickyschools / dltflow
A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
data-quality-checks delta-live-tables meta-programming pyspark python data-engineering databricks dlt ml-engineering cicd
Language:Python
sky9262 / ML_Vehicle_Price_Prediction
Utilizing machine learning techniques, this project predicts vehicle prices based on features like age, fuel type, and more. Models include Linear Regression, Lasso Regression, and Random Forest. Dataset sourced from Kaggle.
lasso-regression linear-regression machine-learning matplotlib matplotlib-pyplot ml ml-engineering prediction regression-algorithms seaborn
Language:Jupyter Notebook
snehitvaddi / UniTrends
UniTrends: Using Telegram API, Kafka, and AWS tools to analyze VISA group chats, refining my YouTube content strategy and gained 10k subscribers through data-driven insights.
btech-project data-engineering data-science kafka machine-learning ml-engineering sql
Language:Jupyter Notebook
wojciech11 / se_ml_applied_machine_learning
Work-in-progress
fastai huggingface introduction machine-learning ml-engineering scikit-learn
Language:Jupyter Notebook

ml-engineering

bentoml / BentoML

kennethleungty / MLOps-Specialization-Notes

hurutoriya / mlops-case-study

jmeisele / fastapi-ml-scaffolding

jmeisele / ml-ops-kafka

ZenithClown / ai-ml-project-template

ml4devs / ml4devs-notebooks

aws-samples / amazon-sagemaker-predict-accessibility

AlexIoannides / notes-and-demos

gdmarmerola / big-data-ml-training

koushikvikram / anomaly-detection-platform

lfunderburk / fuel-electric-hybrid-vehicle-ml

jesussantana / DeepLearning.AI-Introduction-to-Machine-Learning-in-Production

Nikolay-Lysenko / servifier

knap-ai / knapsack

abhijeetgupta23 / Box-Detection-in-Warehouse-using-Vision-Based-ML-Engineering

akashsonowal / interview-prep

murphy999 / Udacity-Azure-ML-Scholarship

gershonc / mlflow_showcase

MurtazaNaiyar / ML-Engineering

bhaskar9221 / Machine-Learning-Projects

davidhaas6 / distributed-task-server

davide-burba / news-classifier

MaxGdr / Plagiarism_Detector

d-kleine / AZ_ML-Engineering

nuvita97 / disaster_response_pipeline_project

Andrei-Lock / Theme-Of-Videos

cnstll / detect_synthetic_news

IPodtsepko / jpeg-transcoding

ndleah / disaster-response

rickyschools / dltflow

sky9262 / ML_Vehicle_Price_Prediction

snehitvaddi / UniTrends

wojciech11 / se_ml_applied_machine_learning