pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The auto-invoked alpha. Only found here.
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
Import it from GitHub and we review every one. Merged plugins join the library with your credit. Open source, free.
Two ways in: import a GitHub repo here, or open a pull request if you prefer the git-native path.
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