Shypd.aiThe largest open index of AI toolsPyTorch-Tutorial-2nd is an open-source educational resource that provides a comprehensive guide to PyTorch, covering foundational concepts, practical applications, and deployment strategies. It includes extensive deep learning application examples and inference deployment frameworks.
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PyTorch-Tutorial-2nd is a comprehensive, open-source tutorial designed for individuals ranging from beginners to experienced deep learning engineers. It systematically covers PyTorch fundamentals, including environment setup, data handling, model building, optimization, and visualization. The tutorial delves into practical applications across computer vision (image classification, segmentation, object detection, GANs, Diffusion models), natural language processing (RNN, LSTM, Transformer, BERT, GPT models for text classification, machine translation), and large language models (Qwen, ChatGLM, Baichuan, Yi, GPT Academic). Furthermore, it provides in-depth guidance on industrial deployment, covering ONNX and TensorRT principles, model quantization (PTQ, QAT), and acceleration techniques, enabling users to master PyTorch for real-world project implementation.
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