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mlsys-lab — ML systems exercises in Python, C++ and CUDA, auto-graded icon

mlsys-lab — ML systems exercises in Python, C++ and CUDA, auto-graded

mikamika06.mlsys-lab

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 transactions, shared-memory bank conflicts and divergence, with no NVIDIA hardware. Deterministic gates, identical score on any machine.

autograderbank conflictsc++coalescingcudacuda exerciseseducationexercisesflash attentiongpugpu programminginterview preparationkv cachellmmachine learning systemsnumericsperformancepythonquantizationsimdsimulatorEducationProgramming LanguagesTesting

Open VSX

Total downloads
6,908
Since yesterday
+92
Current version
v0.5.11
Days tracked
95

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Version history

v0.5.11 from v0.3.4
Detected 2026-08-09 02:00 UTC
v0.3.4 from v0.3.3
Detected 2026-08-07 02:00 UTC
v0.3.3 from v0.3.1
Detected 2026-08-01 02:00 UTC
v0.3.1 from v0.2.0
Detected 2026-07-31 02:00 UTC
v0.2.0 from v0.1.13
Detected 2026-07-30 02:00 UTC

Snapshot log

Scraped at (UTC)Open VSX DLsVersion
2026-10-30 02:00:006,908v0.5.11
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