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🦜🔗 Build context-aware reasoning applications
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
High-Resolution Image Synthesis with Latent Diffusion Models
LAVIS - A One-stop Library for Language-Vision Intelligence
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。