End-to-end ML lifecycle platform with reproducible training, policy-based promotion, progressive delivery, and rollback.

This repository contains a comprehensive list of practice questions designed to help you prepare for the Google Cloud Professional Machine Learning Engineer (GCP PMLE) certification exam

Xccelerated training project

Apache Spark - A unified analytics engine for large-scale data processing

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…

LaTeX Beamer theme for Erasmus School of Economics

English and European soccer results 1871-2022

For interacting with the API api-football.

An R package for analyzing factorial experiments with noncompliance

Must-read papers and resources related to causal inference and machine (deep) learning

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.