🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
其他人工智能更新于 2026-11-02
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Repository dossier
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Brief / README 摘要
查看原文Why SpikingJelly Installation Quick Start Core Capabilities Operator Execution Large-Scale SNN Systems Datasets Interchange and Deployment Project Status and Version Notes License Acknowledgement Contributing Citation SpikingJelly is a PyTorch-native framework for spiking neural networks (SNNs), with support for large-scale SNN training and inference. Beginner-friendly API ANN2SNN conversion Event-based datasets Automatic operator execution: Torch, Triton and optional native CUDA Memory-efficient training, distributed execution, precision control Hardware deployment and framework exchange Use…
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