PixelBank

PixelBank is an interactive learning platform where engineers practice AI and machine-learning engineering by writing real code. It combines a 1,000+ problem bank, 14 structured study plans, timed assessments, interactive research-paper breakdowns and GPU-backed end-to-end projects.

You solve problems in Python (NumPy, PyTorch, OpenCV, Triton, Numba CUDA) in an in-browser editor against a real execution backend, with instant test feedback. Content spans classical image processing through transformers, diffusion models, agents and GPU kernel programming. Every study-plan chapter pairs written explanations and mathematical intuition with animated, interactive demos and linked practice problems.

Study plans include Foundations, Computer Vision, Machine Learning, Large Language Models, NLP, Data Structures & Algorithms, 3D Computer Vision, Agent Engineering, Vision-Language Models, Diffusion Models, Reinforcement Learning, GPU programming with Triton, Systems & Networking, and CUDA with Numba.

Also included:

• 27 timed assessments across 6 tracks
• 26 interactive breakdowns of landmark papers (ResNet, Attention Is All You Need, ViT, CLIP, SAM, FlashAttention and more)
• 10 GPU-backed end-to-end model-training projects
• Concept-card flashcard decks with animated explanations and quizzes
• ML system-design case studies

PixelBank is aimed at engineers moving into computer vision, ML or LLM/agent work, students of machine learning and AI, and anyone preparing for AI/ML engineering interviews.

Freemium: a large share of problems and several full study plans are free. Premium is a one-time lifetime purchase (no subscription) that unlocks the remaining chapters, premium problems, the AI Coach and projects.