Welcome to my digital knowledge hub! This is a curated collection of notes, research papers, courses, and insights covering machine learning, AI systems, software engineering, and more.
🗂️ Main Sections
📄 Research Papers
Deep dives into academic papers and research findings across machine learning, computer vision, NLP, and systems.
🎓 Courses
Notes and materials from courses I’ve taken, including MIT EfficientDL and other educational resources.
📑 Omnivore Highlights
Curated highlights and notes from articles and resources I’ve saved.
🔍 Key Topics
Machine Learning & AI
- Large Language Models (LLMs) - Understanding modern LLMs and their applications
- Transformers - The architecture powering modern NLP
- Vision Transformers (ViT) - Transformers for computer vision
- Attention - The attention mechanism explained
- Knowledge Distillation - Model compression techniques
- Quantization - Reducing model precision for efficiency
- Pruning - Removing unnecessary model parameters
ML Systems & Infrastructure
- MLSys - Machine Learning Systems - Building production ML systems
- Machine Learning Compilers (Graph Compilers) - Optimizing model execution
- ONNX Runtime - Cross-platform inference
- TensorRT (+ Triton Inference Server) - High-performance inference
- Apache TVM - Deep learning compiler stack
Computer Vision
- Object Detection - Detection models and techniques
- Segmentation (Semantic, Part, Instance, Panoptic) - Image segmentation approaches
- CLIP - Contrastive Language-Image Pre-training
- Image generation - Generative models for images
Efficient & Edge AI
- Lightweight AI, Embedded AI, Efficient AI - Running AI on edge devices
- TinyML - efficient deep learning on edge & embedded devices - Ultra-low power ML
- Neural Network Compression - Techniques for model compression
- Parameter Efficient Fine-Tuning (PEFT) - Efficient adaptation methods
Tools & Frameworks
- PyTorch - Deep learning framework
- Docker - Containerization
- Git - Version control
- Jupyter - Interactive development
🧭 Navigation
- Search: Use the search bar (⌘K / Ctrl+K) to find specific topics
- Graph View: Visualize connections between notes and concepts
- Tags: Browse content by tags to discover related topics
- Recent Notes: See what’s been updated recently
📝 About This Hub
This knowledge hub serves as my personal learning repository, documenting insights from research papers, courses, experiments, and practical work. It’s built with Quartz and continuously updated as I learn and explore new topics.