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Name: Nuwan Chamila Withana
Type: User
Location: Melbourne,VIC
Name: Nuwan Chamila Withana
Type: User
Location: Melbourne,VIC
1st Place Solution in Google Universal Image Embedding
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Astock
Automated Machine Learning on AWS, published by Packt
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
A curated list for awesome kubernetes sources :ship::tada:
😎 Awesome list of tools and projects with the awesome LangChain framework
A curated list of references for MLOps
:sunglasses: A curated list of awesome MLOps tools
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome Python frameworks, libraries, software and resources
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
The code for the Spark model deployment workshop
Bitcoin price prediction using twitter sentiment analysis
evaluating
Blog posts and related code by Sebastián Ramírez (@tiangolo)
Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀
This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
♾️ CML - Continuous Machine Learning | CI/CD for ML
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.