PIXELBANK
The platform for mastering AI and the skills around it
Study Plans
Ten structured learning paths, each with interactive demos, walkthroughs, and timed assessments.
Foundations
Python, NumPy, math, probability — the prerequisites for every AI path.
Machine Learning
Regression to reinforcement learning across 13 chapters.
NLP
Text processing, embeddings, transformers, and question answering.
Large Language Models
Transformers, fine-tuning, RLHF, RAG, and frontier architectures.
Computer Vision
Image processing to neural rendering across 14 chapters.
DSA
Blind 75, company sets, graphs, DP, and interview patterns.
3D Computer Vision
NeRF, Gaussian Splatting, multi-view reconstruction.
Vision Language Models
CLIP to GPT-4o, LLaVA, LoRA, and frontier VLMs.
Diffusion Models
DDPM, DDIM, latent diffusion, Stable Diffusion, and DiT.
Systems & Networking
Docker, Kubernetes, CI/CD, model serving, monitoring.
GPU Basics with Triton
GPU architecture, the memory hierarchy, writing fused Triton kernels, and tiled matmul.
CUDA with Numba
Write real CUDA kernels in Python — threads, shared memory, reductions, atomics, and tiled matmul.
1000+ Problems. Not Blind LeetCode.
Every problem is built around real CV, NLP and ML concepts. Implement convolution kernels, build decision trees, code attention mechanisms, and write loss functions from research papers.
What Every Plan Includes
Interactive Demos
Animated visualizations for every concept — not just equations.
Domain-Specific Coding
Every problem teaches a real CV or ML skill. No generic DSA filler.
Implementation Walkthroughs
Step-by-step code guides that build real systems from scratch.
Timed Assessments
22 timed tests to measure readiness across all study plans.
Analogies & Examples
Real-world analogies and code examples for every topic.
AI Coach
Personalized hints without spoiling the answer. PRO feature.
Featured Paper Breakdowns
Interactive visualizations that show you exactly how landmark architectures work:
More papers added regularly based on community interest
Free to Start
Introductory chapters in every study plan are completely free. No credit card required.
Premium unlocks the full curriculum: advanced chapters, all problems, timed assessments, and paper breakdowns.
Who Is This For?
- •Students building a strong foundation in computer vision
- •Software engineers transitioning into ML/CV/NLP roles
- •Researchers who want intuitive explanations of architectures
- •Anyone curious about how machines understand images and video