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windrise's Projects

3dgr-car icon 3dgr-car

3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation

copytranslator icon copytranslator

Foreign language reading and translation assistant based on copy and translate.

deep-bci icon deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

discograd icon discograd

DiscoGrad - automatically differentiate across conditional branches in C++ programs

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn-keras icon faster-rcnn-keras

这是一个faster-rcnn的keras实现的库,可以利用voc数据集格式的数据进行训练。

fe4ml-zh icon fe4ml-zh

:book: [译] 面向机器学习的特征工程

flownet2-tf icon flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gci-semg-prediction icon gci-semg-prediction

Gait Cycle-Inspired sEMG-based Learning for Continuous Prediction of Knee Joint Trajectory

hands-on-machine-learning icon hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

lihang icon lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

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!

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