Results for “pe-band”
3 skillspeft-fine-tuning
Fine-tune large language models by training less than 1% of parameters using LoRA, QLoRA, and 25+ adapter methods, enabling efficient adaptation on limited GPU memory.
2
pennylane
Train quantum circuits like neural networks with automatic differentiation, device-independent programming, and integration with PyTorch or JAX.
30.2k · bundle
pufferlib
Train reinforcement learning agents at millions of steps per second using optimized PPO, vectorized environments, and multi-agent support.
30.2k · bundle