Topic: ml-engineering Goto Github
Some thing interesting about ml-engineering
Some thing interesting about ml-engineering
ml-engineering,This Repo contains a Box Detection Application capable of identifying box containers in conveyor belt pictures.
User: abhijeetgupta23
Home Page: https://hub.docker.com/r/agpsuai23/box_detection_image
ml-engineering,Crack SWE (ML) / DS MAANG Interviews
User: akashsonowal
Home Page: https://akashsonowal.github.io/mle-foundations/
ml-engineering,Study notes and demos.
User: alexioannides
Home Page: https://alexioannides.com/notes-and-demos/
ml-engineering,This neural network can help determine the correspondence of the attached video topic to the video topics recommended by YouTube.
User: andrei-lock
ml-engineering,Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC
Organization: aws-samples
ml-engineering,The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
Organization: bentoml
Home Page: https://bentoml.com
ml-engineering,This is my Repository for Deep Learning Project and Works
User: bhaskar9221
ml-engineering,Detecting News Generated by LLMs
User: cnstll
ml-engineering,ML Engineering with MS Azure
User: d-kleine
ml-engineering,Classification of scientific articles from Frontiers publisher. Deployment ready. Usable as template for text-classification use-cases.
User: davide-burba
ml-engineering,A task queue enabling websites to serve ML models -- with RabbitMQ, Celery, all the good stuff.
User: davidhaas6
ml-engineering,MLOps project Training and Deployment of Spacy model for Sentiment analysis
User: dmytrovoytko
ml-engineering,In this repository I have explained different ML Algorithms with their code.
User: es7
ml-engineering,Code for "Training models when data doesn't fit in memory" post
User: gdmarmerola
Home Page: https://gdmarmerola.github.io/big-data-ml-training/
ml-engineering,Showcase of MLflow capabilities
User: gershonc
ml-engineering,MLOps Case Study
User: hurutoriya
Home Page: https://shunyaueta.com/mlops-case-study/
ml-engineering,Docker for getting jax to work with cuda, for reproducing ml experiments like eicl. Sure, let's NOT make a compatibility matrix and let people fight for their lives on cuda
User: iglee
ml-engineering,Recommendation System for Books using Collaborative Filterings: An ML Project to Recommend 'n' similar Books for a given book, as per the Collaborative users' ratings of the books. This Project also involves the deployment in a Flask Based web application.
User: imtej
Home Page: https://recommendation-system-for-books.onrender.com/
ml-engineering,Исследование на тему "Транскодирование изображений JPEG с использованием предсказания коэффициентов ДКП на основе нейронной сети".
User: ipodtsepko
ml-engineering,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.
User: jesussantana
ml-engineering,Scaffolding for serving ml model APIs using FastAPI
User: jmeisele
Home Page: https://fastapi.tiangolo.com/
ml-engineering,Kafka variant of the MLOps Level 1 stack
User: jmeisele
ml-engineering,ML project to showcase a high quality work for producing a successful and resilient Machine Learning system, analysis, engineering, ...
User: josejuan98
ml-engineering,Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
User: kennethleungty
ml-engineering,Fast, private data connectors for AI ⚡️🤖
Organization: knap-ai
Home Page: https://knap.ai
ml-engineering,🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
User: koushikvikram
ml-engineering,Vehicle data classification (supervised, unsupervised learning)
User: lfunderburk
ml-engineering,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.
User: maxgdr
ml-engineering,BentoML is a high-performance model serving framework it provides various scripts and configurations to help streamline and deployment process.
User: md-emon-hasan
ml-engineering,Demonstrate the key features and benefits of using CircleCI for continuous integration and continuous deployment (CI/CD).
User: md-emon-hasan
ml-engineering,Companion notebooks for blogs/tutorials on ML4Devs website.
Organization: ml4devs
Home Page: https://www.ML4Devs.com
ml-engineering,The work shown in this repository is part of the Udacity scholarship program in collaboration with Microsoft for Machine Learning Engineer Nanodegree.
User: murphy999
ml-engineering,All About ML Engineering
User: murtazanaiyar
ml-engineering,⛰️ machine learning pipeline for disaster alert
User: ndleah
ml-engineering,An easy-to-use tool for making web service with API from your own Python functions.
User: nikolay-lysenko
ml-engineering,A project to build an ETL pipeline and ML application to help respond to disaster events faster
User: nuvita97
ml-engineering,DermaDetectAI is a Flask app for detecting skin diseases using deep learning. Developed by Ranit Manik and team, it includes models for identifying 5, 10, and 23 skin conditions, and supports NVIDIA GPU acceleration. The models are trained with PyTorch.
User: ranitmanik
ml-engineering,A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
User: rickyschools
Home Page: https://rickyschools.github.io/dltflow/index.html
ml-engineering,This repository serves as a platform where I share articles and implementations related to various machine learning concepts and projects. Through this blog, I aim to document my learning journey and provide insights into the fascinating world of machine learning.
User: rosaaldama278
Home Page: https://tingaldama278.github.io/Blogs/
ml-engineering,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.
User: sky9262
ml-engineering,State-of-the-art and Challenges of Engineering ML-enabled Software Systems
Organization: smartseclab
ml-engineering,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.
User: snehitvaddi
ml-engineering,Work-in-progress
User: wojciech11
ml-engineering,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.
User: zenithclown
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.