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Building Scalable Federated Learning Solutions with Flower: A Comprehensive Guide

by Zainul Abideen | Jul 10, 2025

[/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] [/et_pb_column] Federated learning is a machine learning approach that allows models to be trained across multiple...

Maximize Your AI Model Performance with GenAI-Perf: A Comprehensive Guide

by Zainul Abideen | Jul 10, 2025

Introduction to GenAI-Perf GenAI-Perf is a command line tool designed to measure the throughput and latency of generative AI models served through an inference server. This tool is particularly useful for benchmarking large language models (LLMs) and provides...

Build Your Own AI Art Studio with Diffusion Bee: A Comprehensive Guide to the Stable Diffusion UI

by Zainul Abideen | Jul 10, 2025

Introduction to Diffusion Bee The Diffusion Bee Electron App is a powerful tool designed for artists and developers interested in leveraging the capabilities of Stable Diffusion for AI-generated art. This project provides a user-friendly interface that simplifies the...

Harnessing Orthogonal Random Forests for Heterogeneous Treatment Effect Estimation in Python

by Zainul Abideen | Jul 10, 2025

Introduction to Orthogonal Random Forests The Orthogonal Random Forest (ORF) is a powerful algorithm designed for estimating heterogeneous treatment effects (HTE). By combining orthogonalization techniques with generalized random forests, ORF effectively mitigates...

Effortlessly Prepare Datasets with the OGB DatasetSaver Class

by Zainul Abideen | Jul 10, 2025

Introduction to OGB DatasetSaver The OGB DatasetSaver class is a powerful tool designed for developers and researchers working with graph property prediction datasets. It simplifies the process of preparing datasets in a format compatible with the Open Graph Benchmark...
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