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annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

data-structres icon data-structres

浙江大学《数据结构》上课笔记 + 数据结构实现 + 课后题题解

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

machine_learning icon machine_learning

参考了西瓜书,sklearn源码,李航统计学,机器学习实战、机器学习中的数学

machinelearning icon machinelearning

《统计学习方法》相关的机器学习实现代码。Machine Learning.

ml-visuals icon ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models icon models

Models and examples built with TensorFlow

voc2coco icon voc2coco

VOC格式数据集转为CoCo格式数据集

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