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1-day workshop on knowledge graphs (KG): Learn the theory and hands-on coding
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Developed and productionized algorithms for DHL to determine the geographic locations of distribution centers, trailer routes, schedules, and assignments, and estimation of drivers and labors requi…
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Browse PDF document like a book turning its pages
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🐳 A curated list of Docker resources and projects
A launchpad for developers to learn Kubernetes from scratch and deployment of microservices on a kubernetes cluster.
Managing Docker images, containers, and their dependencies in Python.
A complete computer science study plan to become a software engineer.
Mixed-effects models in R using S4 classes and methods with RcppEigen
Delta Analytics Global Teaching Fellow's Machine Learning Lectures
Interactive computer vision modules developed for Prof. Mingolla's HONR1310 Your Eye and AI course
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This Script optimizes .jpg and .png images for the web. This follows the "Yahoo Best Practices for Speeding Up Your Web Site" about optimize images. http://developer.yahoo.com/performance/rules.htm…
A command line tool to easily add an ethics checklist to your data science projects.
An open-source implementation of the AlphaGoZero algorithm
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.