LeetCode-style PyTorch interview practice environment with auto-grading for implementing softmax, attention, GPT-2 and more from scratch.
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
don't have the plugin yet? install it then click "run inline in claude" again.