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  1. Fer2013-Facial-Emotion-Recognition-Pytorch Fer2013-Facial-Emotion-Recognition-Pytorch Public

    Forked from LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch

    This method achieves SOTA single model accuracy of 73.70 % on FER2013 without using extra training data.

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    Forked from datawhalechina/diy-llm

    🎓 ��统性大语言模型构建课程|🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)|🚀 6 个渐进式作业 + 代码驱动,建立 LLM 全栈认知体系

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