Eric Agyemang's repositories
Microsoft-Power-BI-Performance-Best-Practices
Microsoft Power BI Performance Best Practices, published by Packt
A-Definitive-Guide-to-Apache-ShardingSphere
A Definitive Guide to Apache ShardingSphere, published by Packt
Active-Directory-Administration-Cookbook-Second-Edition
Active Directory Administration Cookbook, Second Edition, Published by Packt
Artificial-Intelligence-with-Power-BI
Artificial Intelligence with Power BI, published by Packt
Automated-Machine-Learning-on-AWS
Automated Machine Learning on AWS, published by Packt
Azure-Synapse-Analytics-cookbook
Analytics in Azure Synapse Simplified
ChatGPT
đź”® ChatGPT Desktop Application (Mac, Windows and Linux)
Data-Engineering-with-Alteryx
Data Engineering with Alteryx, published by Packt
Data-Engineering-with-Google-Cloud-Platform
Data Engineering with Google Cloud Platform, published by Packt
Deep-Learning-Architect
Deep Learning Architect
Deep-Learning-with-PyTorch-Lightning
Getting Started with PyTorch Lightning, Published by Packt
Democratizing-Artificial-Intelligence-with-UiPath
Democratizing Artificial Intelligence with UiPath, Published by Packt
Distributed-Machine-Learning-with-Python
Distributed Machine Learning with Python, published by Packt
Feature-Store-for-Machine-Learning
Feature Store for Machine Learning, published by Packt
FederatedLearning
Material workbench for the master-level course CS-E4740 "Federated Learning"
Getting-Started-with-Amazon-SageMaker-Studio
Getting Started with Amazon SageMaker Studio, published by Packt
In-Memory-Analytics-with-Apache-Arrow-
In-Memory Analytics with Apache Arrow, published by Packt
INSE-6180_Federated_Learning_Project_Repo
This is the INSE 6180 project which covers the detailed code of federated learning for that class.
Machine-Learning-for-Streaming-Data-with-Python
Machine Learning for Streaming Data with Python, published by Packt
Machine-Learning-on-Kubernetes
Machine Learning on Kubernetes, published by packt
Mastering-Azure-Machine-Learning-Second-Edition
Mastering Azure Machine Learning - Second Edition, published by Packt
opacus
Training PyTorch models with differential privacy
Practical-Deep-Learning-at-Scale-with-MLFlow
Practical Deep Learning at Scale with MLFlow, published by Packt
PySyft
Perform data science on data that remains in someone else's server
Python-For-Deveops-Nov-2023
From Zero Repository for doing Python DevOps Work
python_devops_book
[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
serve_with_transformers
Serve, optimize and scale PyTorch models in production
Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt