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-data-stream-development-with-apache-spark-kafka-and-spring-boot

Data Stream Development with Apache Spark, Kafka and Spring Boot by Packt Publishing

-internet-of-things-programming-projects-2nd-edition

Internet of Things Programming Projects, 2nd Edition, published by Packt

-mastering-matplotlib-3

Mastering Matplotlib 3 by Packt Publishing

15-math-concepts-every-data-scientist-should-know

15 Math Concepts Every Data Scientist Should Know, published by Packt

3d_tracking

Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022

40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

50-hours-of-big-data-pyspark-aws-scala-and-scraping

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

a-handbook-of-mathematical-models-with-python

Implementing Mathematical Modelling for Machine Learning, published by Packt

accelerate-model-training-with-pytorch-2.0

Accelerate Model Training with PyTorch 2.0, published by Packt

acidonspark-etl

Delta-Lake, ETL, Spark, Airflow

advanced-data-engineering-with-databricks

advanced-data-structures-and-algorithms-in-python

Advanced Data Structures and Algorithms in Python [Video], published by Packt

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-nlp-projects-with-tensorflow-2.0

advanced-nlp-with-tensorflow-2

Advanced NLP with TensorFlow 2, published by [Packt]

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

agile_data_code_2_airflow

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

ai_big-data_data-engineering_and_distributions

Here we created some projects using Kafka, AI , Data virtualization and Machine Learning

airflow-elt-blueprint

A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.

airflow-livy-operators_spark

Lets Airflow DAGs run Spark jobs via Livy: sessions and/or batches.

airflow-maintenance-dags

A series of DAGs/Workflows to help maintain the operation of Airflow

airflow-pipeline

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

airflow-rest-api-plugin

A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces

airflow-spark-minio-postgres

Project with Airflow + Spark + MinIO + Postgres + Python3.8

airflow-spark-operator-plugin

A plugin to Apache Airflow to allow you to run Spark Submit Commands as an Operator

airflow_kafka_spark_docker

This is a recipe for docker container based architecture based on airflow, kafka,spark,docker

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

amazon-sagemaker-examples

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