Framework Internals
Pseudo-Code Algorithm Generator
Generate publication-quality pseudo-code for algorithms in LaTeX (algpseudocode/algorithm2e) or markdown. Covers ML/deep learning (training loops, optimizers, backprop), reinforcement learning (Q-learning, PPO, actor-critic, REINFORCE), and evolutionary algorithms (GA, CMA-ES, NEAT, GP). Use when: (1) Writing pseudo-code for a paper, report, or assignment, (2) Converting Python/PyTorch code to pseudo-code, (3) Presenting an algorithm in LaTeX algorithm environment, (4) Creating pseudo-code for ML training, RL, or evolutionary methods, (5) User asks to "write pseudo-code", "algorithmize", or "present as algorithm".