Tag: PyTorch
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TorchAO vs ONNX Runtime: 8-bit Quantization Benchmark
Compare TorchAO vs ONNX Runtime 8-bit quantization performance. Benchmark results reveal surprising differences in speed, accuracy, and memory usage.
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QAT vs PTQ: When 3% Accuracy Drop Kills Your Model
Compare QAT vs PTQ to find when that 3% accuracy gap destroys real-world performanceโand which quantization method saves your model.
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DreamerV3 World Model RL: 200-Line PyTorch Implementation
Build DreamerV3's world model RL from scratch in 200 lines โ RSSM dynamics, latent-space dreaming, and KL balancing tricks that prevent collapse.
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Diffusion Models from Scratch: DDPM Training in PyTorch
Build DDPM from scratch in PyTorch: forward diffusion, U-Net denoising, training loop. Real gradient explosion fixes and NaN debugging tips.
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PyTorch Neural Network Guide: 5 Mistakes That Break Training
Fix 5 silent PyTorch mistakes that break training: gradient traps, init failures, device mismatches. Real debugging code included.
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SimpleRL: Building DQN to PPO from Scratch in 500 Lines
Build DQN and PPO reinforcement learning algorithms from scratch in under 500 lines. Step-by-step implementation guide with minimal dependencies.
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SAC: The Best Algorithm for Continuous Control
Implement Soft Actor-Critic from scratch โ maximum entropy RL, twin Q-networks, automatic temperature tuning, and when to choose SAC over PPO.
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PPO: Why It Powers ChatGPT and Game AI
Deep dive into Proximal Policy Optimization โ the clipping trick, GAE, hyperparameters, and why PPO became the backbone of RLHF in modern LLMs.