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Axiom 50 (Core)
18/50
36%Math for ML
12/32
38%Transformers
4/24
17%CUDA Basics
0/15
0%Problems15 PROBLEMS
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| Title | Tags | XP | Diff | |
|---|---|---|---|---|
001Linear Regression Forward Pass | CORE MATHREGRESSION | +50 | Easy | |
005Sigmoid Activation & Derivative | CORE MATHCALCULUS | +50 | Easy | |
014Gradient Descent Step | OPTIMIZATION | +50 | Easy | |
018L1 vs L2 Regularization | OPTIMIZATION | +50 | Easy | |
024Implement Multi-Head Attention | TRANSFORMERSMATRIX MATH | +300 | Hard | |
033Softmax + Cross-Entropy Loss | LOSS FNCORE MATH | +150 | Medium | |
044Backpropagation via Chain Rule | CORE MATHCALCULUS | +300 | Hard | |
051ReLU Activation Forward | CORE MATH | +50 | Easy | |
067Positional Encoding (Sinusoidal) | TRANSFORMERSNLP | +150 | Medium | |
072Batch Normalization Forward | CORE MATHVISION | +150 | Medium | |
089Beam Search Decoding | NLPSEARCH | +150 | Medium | |
101Scaled Dot-Product Attention | TRANSFORMERS | +150 | Medium | |
102K-Means Clustering Kernel | CORE MATH | +150 | Medium | |
118CUDA Parallel Reduction | CUDA | +300 | Hard | |
130Singular Value Decomposition | LINEAR ALGEBRA | +300 | Hard |