A comprehensive collection of AI/ML resources, tools, frameworks, and learning materials curated by Umit Kacar, PhD.

Last Updated: 2025-06-23 | Total Resources: 450+ | Categories: 15

Vision: To be the go-to resource hub for AI/ML practitioners, researchers, and developers worldwide - from beginners starting their journey to experts pushing the boundaries of artificial intelligence.

Mission:

• 🌍 Accessibility: Organize and categorize AI/ML resources for easy discovery
• 🔄 Currency: Maintain up-to-date, living documentation that evolves with the field
• 📚 Comprehensiveness: Cover the full spectrum from foundational concepts to cutting-edge research
• 🤝 Community: Foster an open-source community where everyone can contribute and benefit

• Curated Quality: Every resource is carefully selected for its value and relevance
• Practical Focus: Emphasis on tools and frameworks you can use today
• Broad Coverage: From LLMs to Quantum ML, Mobile AI to MLOps
• Active Maintenance: Regularly updated with new resources and fixed links
• Community Driven: Open to contributions from the global AI community

• 📓 Interactive Notebooks
• 🤖 Large Language Models (LLMs)
• 🎨 Generative AI & Stable Diffusion
• 👁️ Computer Vision
• 🎵 Audio & Speech Processing
• 🔐 Biometrics & Security
• 📱 Mobile & Edge AI
• 🚀 MLOps & Production
• 🎮 Reinforcement Learning
• ⚛️ Quantum Machine Learning
• 🤖 AutoML & Neural Architecture Search
• 📈 Time Series Analysis
• 🕸️ Graph Neural Networks
• 🔧 Tools & Frameworks
• 📚 Learning Resources
• 💼 Interview & Career

• Notebook Collection - Run AI/ML code directly in your browser
• Beginner Tutorials - Start your AI journey
• Advanced Examples - State-of-the-art implementations

• Awesome-LLM-Resources - Comprehensive LLM resource collection
• LLMs-Finetuning - Fine-tuning techniques and best practices
• LLMs-tricks - Tips, tricks, and optimization techniques
• IQA-with-LLMs - Image Quality Assessment using LLMs

• awesome-GANs-Stable-Diffusion - GANs and Stable Diffusion resources
• Awesome-ComfyUI-Beyond - ComfyUI workflows and extensions
• food-generative-ai - Food generation with AI

• image-enhancement - Image enhancement techniques
• Dark-Mode - Dark mode implementations

• SAM-Foundation-Models - Segment Anything Model resources
• Interactive-Image-Segmentation - Interactive segmentation tools
• tattoo_segmentation - Tattoo segmentation techniques
• Transformers-CNN-Segmentation - Transformer-based segmentation

• awesome-video-segmentation - Video segmentation resources
• awesome-video-inpainting - Video inpainting techniques
• pseudonymous-video-platform - Privacy-preserving video processing

• awesome-3D-Computer-Vision - 3D computer vision resources

• Speech Recognition - ASR models and tools

• Biometrics Overview - Comprehensive comparison of all biometric modalities
• Face Recognition - Deep learning approaches, anti-spoofing, and production systems
• Fingerprint Recognition - Minutiae extraction, deep learning, and sensor technologies
• Iris Recognition - IrisCode, deep learning methods, and liveness detection
• Voice Recognition - Speaker recognition, x-vectors, and ECAPA-TDNN
• Ear Recognition - Ear biometrics and segmentation
• Signature Verification - Offline/online signature verification
• Gait Recognition - Walking pattern analysis for identification
• Vein Recognition - NIR imaging for finger/palm vein patterns
• Multimodal Biometrics - Fusion strategies for multiple biometric traits

• DeepFake Detection - Detecting synthetic media

• mobile-apps-ai-ios-android - Mobile AI app development
• ai-edge-computing-tiny-embedded - Edge computing resources
• ai-flutter - Flutter + AI integration
• awesome-ncnn-collection - NCNN framework resources
• NCNN Mobile AI - NCNN framework comprehensive guide

• Onnxruntime-TensorRT - ONNX Runtime and TensorRT optimization

• Production Deployment - MLOps platforms and best practices

• RL Basics - Introduction to RL concepts

• Quantum ML Basics - Introduction to QML
• Quantum Algorithms - QAOA, VQE, quantum kernels
• QML Frameworks - PennyLane, Qiskit, TensorFlow Quantum

• AutoML Frameworks - AutoGluon, H2O, PyCaret, and more
• Neural Architecture Search - DARTS, ENAS, NAS algorithms
• Hyperparameter Optimization - Optuna, Ray Tune, Hyperopt

• Time Series Basics - Classical and modern forecasting methods
• Deep Learning for Time Series - LSTM, Transformer models
• Prophet & AutoTS - Automated forecasting tools

• GNN Fundamentals - GCN, GraphSAGE, GAT architectures
• PyTorch Geometric Guide - Implementation tutorials
• Graph Applications - Social networks, molecules, knowledge graphs

• Git-codes - Git commands and workflows
• Framework-Trending - Trending frameworks and libraries
• MLOps - MLOps best practices

• ai-python-backend - Python backend for AI services
• Web_Application - Web application development

• ai-js - AI with JavaScript
• ai-cplusplus - AI with C++
• ai-preprocessing - Data preprocessing techniques

• ai-ebook - AI/ML ebooks and papers
• Software-Development-Lessons - Software development best practices
• Turkish AI Resources - 🇹🇷 Türkçe yapay zeka kaynakları
• NLP_Research - NLP research papers and tutorials

• FAANG Interview Prep - Complete FAANG AI/ML interview guide
• AI Marketing Apps - AI in marketing applications

Feel free to contribute to this collection! Please read our contribution guidelines before submitting PRs.

This repository is licensed under the MIT License - see the LICENSE file for details.