#lazy evaluation

Koila provides an efficient method to resolve 'CUDA error: out of memory' issues in PyTorch with minimal code changes. By dynamically adjusting batch sizes to GPU availability and using lazy evaluation, it enhances resource management and performance. Its lightweight design supports large batch operations and eases debugging, seamlessly integrating with existing PyTorch setups. Available via PyPI, Koila is a promising tool for future enhancements like multi-GPU support, though not yet fully production-ready.

Remeda is a TypeScript utility library supporting both data-first and data-last styles. It enables lazy evaluation with 'pipe' and 'piped' functions, and is tree-shakable for CJS and ESM modules. Offering robust TypeScript support with thorough testing and documentation, Remeda provides resources for developers transitioning from Lodash or Ramda. The library is community-driven, encouraging contributions via GitHub.