# AlphaGPU/leetgpu-challenges

LeetGPU Challenges

Repository: https://github.com/AlphaGPU/leetgpu-challenges
Canonical: https://ross.abutalabs.com/products/leetgpu-challenges
Homepage: https://LeetGPU.com
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-09-02T07:01:05+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 29
- inputs: {"age_days": 409, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1114, forks 126 (observed 2026-09-03T02:15:00.564362+00:00)

## What it is
A collection of GPU programming challenges for the LeetGPU.com platform, containing problem descriptions, reference implementations, test cases, and starter templates for multiple GPU frameworks. It is a Python-based problem set licensed under CC BY-NC-ND 4.0 for non-commercial use.

## Use cases
- practice GPU programming challenges
- learn CUDA and GPU frameworks with exercises
- prepare for GPU coding interviews
- find starter templates for GPU kernel problems
- contribute new GPU programming problems
- test GPU implementations against reference solutions

## When to choose
- you want structured, hands-on GPU programming practice
- you are learning CUDA or other GPU frameworks and want testable exercises
- you want interview-style problems for parallel computing

## When to avoid
- you need production GPU libraries or utilities
- you require a permissively licensed codebase for commercial use
- you want a full GPU course rather than a challenge set

## Facets
- artifact type: learning-resource
- maturity: active
- function: gpu-computing, benchmarking, testing
- domain: gpu-computing, education, tutorials
- platform: python, cross-platform
- tags: gpu-programming, coding-challenges, cuda, leetgpu, problem-set, exercises, gpu

## Member repositories
- AlphaGPU/leetgpu-challenges (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:00.564362+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:45:56.782719+00:00, confidence not recorded.
  - readme: https://github.com/AlphaGPU/leetgpu-challenges (fetched 2026-09-03T02:15:00.564362+00:00, sha e89d60553046)
  - homepage: https://LeetGPU.com (fetched 2026-08-29T12:49:20.738190+00:00, sha de158243caf1)
- Data as of 2026-08-30T08:39:29.467469+00:00.