List of Computer Science courses with video lectures.

A topic-centric list of HQ open datasets.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

All-inclusive Python cheatsheet

Docker Apache Airflow

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

https://huyenchip.com/ml-interviews-book/

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

🔥 Machine Learning Notebooks

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

🧠 A study guide to learn about Transformers

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Python API for Deequ

Code repository for the Mastering Kafka Streams and ksqlDB book

Apache Spark 3 - Structured Streaming Course Material

This repository is regarding important questions asked in Machine Learning Engineer Interviews.

Ravi Azure ADB ADF Repository

Learn Amazon SageMaker - Second Edition, published by Packt

A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using FastAPI.

🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/

End to End Pipeline using AWS Services such as s3, boto3, lambda, ECR, step functions, Dynamodb, Step Functions, etc

GitHub repository related to the course Mastering Elastic Map Reduce for Data Engineers

Streaming Data Solutions with Amazon Kinesis, Published by Packt

Getting Started with Amazon SageMaker Studio, published by Packt

Amazon Redshift Cookbook, Published by Packt