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本项目为西安交通大学电气工程及其自动化专业课程资料。我是西安交通大学电气工程及其自动化专业18级学生，专业方向电气工程（发电），本项目包含我从大一到大四的所搜集整理的课程资料以及实验资料，包括但不限于往年题，实验代码以及实验报告，复习提纲，课后习题答案等。希望该项目在学业上对学弟学妹有所帮助，记得留下star。
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Curated list of project-based tutorials
《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。
Multi-scale deep compressive imaging, IEEE Transaction on Computational Imaging, 2020
Image-to-Image Translation in PyTorch
A technical report on convolution arithmetic in the context of deep learning
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
OpenMMLab course index and stuff
A Deep Learning Approach to Ultrasound Image Recovery
Collection of reproducible deep learning for compressive sensing
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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。
PyTorch Tutorial for Deep Learning Researchers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.