🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Simple, unified interface to multiple Generative AI providers

Slides and other assets for the re:Invent 2024 KUB track

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks

DTS

PHDATA

Efficient Deep Learning Systems course materials (HSE, YSDA)

Repo for the zero to dbt workshop

Resources from an virtual tech talk / workshop - Set Up and Use Apache Iceberg Tables on Your Data Lake

Code for the book "Get Programming with Scala" (Manning)

Learning Deep Learning (Nvidia)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

Build Deep Learning models for images, text and more using Python and Keras

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

Machine Learning University: Accelerated Tabular Data Class

Public source code for the Udemy online course Apache Airflow: Complete Hands-On Beginner to Advanced Class.

AWS Certified Machine Learning - Specialty (MLS-C01)

Curated list of resources about Apache Airflow

Airflow basics tutorial

Istio Tutorial for https://dn.dev/master

Open Source Intelligence gathering tool aimed at reducing the time spent harvesting information from open sources.

Setting up AWS Cloud9 with spark and Scala runner

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

a open source project to demonstrate a data pipeline from REST API all the way to elasticsearch through kafka connectors and some kind of data manipulation