Topic

Deep learning frameworks

Software stacks that give neural network code its tensors, automatic differentiation, dataloaders and training loops, usually with a GPU backend underneath.

Current clusters

build1 publisher

Frost fits a deep learning framework in 1,400 lines by moving the hard parts into its own language

The Neve author has published Frost with a runnable ResNet-18 benchmark and three named complaints about PyTorch. The 1,400-line count covers the framework layer only; the compiler and SIMD backend underneath are separate code.

Publishers:dev.to

Reality

Evidence24
Adoption8
Hype gap+55
Incentives82
Confidence55