#autograder
mlsys-lab — ML systems exercises in Python, C++ and CUDA, auto-graded
mikamika06
Auto-graded exercises in low-level ML systems: quantization, KV cache and attention, batching and serving, numerics, CPU performance, CPython internals. Most tasks are Python. C++ tasks are compiled by the local clang++; CUDA tasks are real CUDA-C, run on a software GPU that counts warps, coalescing
Programming Languages
Education
#python
7
5.0
PrairieLearn Preview
runjuu
Preview PrairieLearn questions side by side in VS Code. Save your edits and the rendered question refreshes instantly from a local server running in Docker or Podman.
Visualization
Education
#docker
6
Quesal
quesal
Preview, navigate, and organize PrairieLearn questions in VS Code—with live local rendering and optional AI-assisted course maps.
Visualization
Education
#docker
2