pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Flowy lists 3 plugins in the Machine Learning category for Claude Code. training or serving models, neural networks, fine-tuning, ML frameworks. NOT "uses an LLM", which is true of every plugin here Every listing shows what is inside before you install, who built it, and whether it is Auto-invoked, meaning a FLOW.md router fires the right skill as you prompt instead of leaving them dormant.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
nanochat is the simplest experimental harness for training LLMs. It is designed to run on a single GPU node, the code is minimal/hackable, and it covers all major LLM stages including tokenization, pretraining, finetuning, evaluation, and inference.
Research-first Agent Skills for Deep Learning Experiments. Main idea: RigorPilot keeps AI-assisted deep learning research grounded in comparability, reproducible evidence, and auditable changes while an agent reproduces, improves, or explores a research