machine-learning-engineering
There are 52 repositories under machine-learning-engineering topic.
stas00/ml-engineering
Machine Learning Engineering Open Book
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
decodingml/llm-twin-course
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
IFCA-Advanced-Computing/frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
decodingml/articles-code
๐ป Decoding ML articles hub: Hands-on articles with code on production-grade ML
radicalbit/radicalbit-ai-monitoring
A comprehensive solution for monitoring your AI models in production
iesahin/xvc
A robust (๐ข) and fast (๐) MLOps tool for managing data and pipelines in Rust (๐ฆ)
ironcladgeek/prAIce
AI-Powered Financial Asset Forecasting: Predicts long-term US stock prices using AI. Integrates news sentiment, technical indicators, candlestick patterns, and fundamental analysis. Provides comprehensive insights for informed financial decision-making. Customizable data collection and analysis for investors and researchers.
curiousily/Hackers-Guide-to-Deep-Learning
Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
MemoonaTahira/MLZoomcamp2022
My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
Techn0logic/kubeflow-pipelines-standalone
A Helm chart containing Kubeflow Pipelines as a standalone service.
andreizolotarev/MLOps
This repository contains examples of using various libraries/tools for MLOps.
cedrickchee/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
abrahamkoloboe27/Fruits-Recognition-Streamlit-App
๐ Fruits Classification App (Streamlit) ๐
jcm-ai/BCG-Open-Access-Data-Science-Advanced-Analytics-Virtual-Experience-Program
The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. ๐๐๐๐จโ๐ป
prakharrathi25/mlops-specialization-coursera
Machine Learning for Production Specialization
abrahamkoloboe27/Fruits-Recognition-Gradio-App
๐ Fruits Classification App (Gradio) ๐
Adeemy/end-to-end-ml
End-to-end ML project for tabular data.
alanchn31/Flower-App
Flower Classification Web Application (Built with Flask)
autgaard/data-science-misc-projects
Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.
CSCheatsheets/mle-cheatsheet
Cheatsheet for Machine Learning Engineer.
patcha-ranat/MLOps-ml-system
ML System - Model Deployment & Lifecycle Management
abhisrn1986/TwitterDataPipeline
The project comprises a real-time tweets data pipeline, a sentimental analysis of the tweets module, and a Slack bot to post the tweets' sentiments. The project uses SentimentIntensityAnalyzer from the VaderSentiment library. The analyzer gives positive, negative, and compound scores for small texts (such as tweets in this case). The real-time data pipeline flow is as follows: 1.Tweets are collected and stored in a database. 2.The sentiment of the tweets is analyzed. 3.The tweet sentiment is posted on a Slack channel using a Slack bot.
gabrieltardochi/full-stack-deep-facial-recognition
Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.
joabara/Iridium-Crypto-Trader
An cryptocurrency trading bot that uses automated machine learning for decision making to maximize returns.
labrijisaad/AXA-Direct-ML-Apprenticeship
Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.
prajwalchapke055/Cognizant-Artificial-Intelligence-Job-Simulation-Forage
Advise one of Cognizantโs clients on a supply chain issue by applying knowledge of machine learning models.
SCIFER99/ChatBot-Development-with-Python
This is my repository revolving around developing a ChatBot using Python!
SCIFER99/Convolutional-Neural-Network-Example
This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!
zhermin/car-classifier
Car Type Classifier using EfficientNetV2, Dockerized and served with FastAPI
cespeleta/food-review-api
Food Review Service API, a Python FastAPI microservice intended to provide information about the product reviews dataset
sulcer/intelligent_systems_engineering
Intelligent Systems Engineering for Mbajk
ashuguptahere/parspec-assignment-old
parspec-assignment for MLE-II role