Mohamed Abdelhamid

The Open Source Repository Guide: Best Practices for Sharing Your AI/ML and Data Science Projects
- a
Mar 17, 2025651 reads
- AIProjectStructure
- AIRepositories
- +12
n8n: Building No-Code Agentic Workflows
- a
Oct 09, 202570 reads
- #LLMs
- #Tools
- +5
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
Sep 12, 2024300 reads
- accuracy
- auc-score
- +12
Transformer Models for Automated PII Redaction: A Comprehensive Evaluation Across Diverse Datasets
Aug 07, 2024195 reads
- ALBERT
- BERT
- +12
One Model, Five Superpowers: The Versatility of Variational Auto-Encoders
Aug 21, 2024187 reads
- AI
- Anomaly Detection
- +13
Building CLIP from Scratch: A Tutorial on Multi-Modal Learning
Oct 22, 202489 reads
- CLIP
- Computer Vision
- +6
Hands on Computer Vision: Build Production-Grade Models in an Hour
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Dec 16, 202478 reads
- computer-vision
- deep-learning
- +11
Time Series Step Classification Benchmark
Sep 16, 202485 reads
- Benchmarking
- Benchmarking Study
- +8
Exploring Parameter-Efficient Fine-Tuning (PEFT)
Oct 12, 202463 reads
- AI
- DeepLearning
- +8
CPUs, GPUs, and TPUs: The Hardware Engines Driving AI
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- r
Mar 01, 202547 reads
- ai-hardware
- cuda
- +10
Ranking Fear Emotions Using EEG and Machine Learning
Sep 25, 202455 reads
- ANN
- ANOVA
- +8
Introduction to knowledge Graphs with Neo4j
Dec 03, 202438 reads
- Knowledge Graphs
- Neo4j
Hyper-Parameter Tuning (HPT) Using Optuna
Aug 07, 202421 reads
- HPT
- Optuna
OpenAI Agents SDK Tutorial: Building Autonomous Multi-Agent AI Systems
Aug 29, 202533 reads
- AAIDC
- Agent Orchestration
- +11

The Open Source Repository Guide: Best Practices for Sharing Your AI/ML and Data Science Projects

n8n: Building No-Code Agentic Workflows

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification

Transformer Models for Automated PII Redaction: A Comprehensive Evaluation Across Diverse Datasets

One Model, Five Superpowers: The Versatility of Variational Auto-Encoders

Building CLIP from Scratch: A Tutorial on Multi-Modal Learning

Hands on Computer Vision: Build Production-Grade Models in an Hour

Time Series Step Classification Benchmark

Exploring Parameter-Efficient Fine-Tuning (PEFT)

CPUs, GPUs, and TPUs: The Hardware Engines Driving AI

Ranking Fear Emotions Using EEG and Machine Learning

Introduction to knowledge Graphs with Neo4j

Hyper-Parameter Tuning (HPT) Using Optuna

OpenAI Agents SDK Tutorial: Building Autonomous Multi-Agent AI Systems