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torchcode-pytorch-interview-practice

reason-machines/trending-skills

LeetCode-style PyTorch interview practice environment with auto-grading for implementing softmax, attention, GPT-2 and more from scratch.

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安装命令

npx skills add https://github.com/reason-machines/trending-skills --skill torchcode-pytorch-interview-practice

SKILL.md

TorchCode — PyTorch Interview Practice

Skill by ara.so — Daily 2026 Skills collection.

TorchCode is a Jupyter-based, self-hosted coding practice environment for ML engineers. It provides 40 curated problems covering PyTorch fundamentals and architectures (softmax, LayerNorm, MultiHeadAttention, GPT-2, etc.) with an automated judge that gives instant pass/fail feedback, gradient verification, and timing — like LeetCode but for tensors.


Installation & Setup

Option 1: Online (zero install)

Option 2: pip (for use inside Colab or existing environment)

pip install torch-judge

TorchCode — PyTorch Interview Practice

Skill by ara.so — Daily 2026 Skills collection.

TorchCode is a Jupyter-based, self-hosted coding practice environment for ML engineers. It provides 40 curated problems covering PyTorch fundamentals and architectures (softmax, LayerNorm, MultiHeadAttention, GPT-2, etc.) with an automated judge that gives instant pass/fail feedback, gradient verification, and timing — like LeetCode but for tensors.


Installation & Setup

Option 1: Online (zero install)

Option 2: pip (for use inside Colab or existing environment)

pip install torch-judge