torchcode-pytorch-interview-practice
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)
- Hugging Face Spaces: https://huggingface.co/spaces/duoan/TorchCode
- Google Colab: Every notebook has an "Open in Colab" badge
Option 2: pip (for use inside Colab or existing environment)
pip install torch-judge
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