Skip to content

ML-Specific Patterns

Overview

Real-world patterns in production ML systems.

Topics

  • Tensor Abstractions - NumPy, PyTorch, JAX
  • Autograd Implementation - Forward/backward passes
  • Distributed Training - DataParallel, DistributedDataParallel
  • Model Serialization - pickle, torch.save, safetensors
  • Custom Operators - CUDA kernels

Key Patterns

  • Tensor protocol abstractions
  • Distributed training patterns
  • Model checkpointing and resumption