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algorithms_mathmodels

【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理）

andrewngmachinelearning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

droo-tensorflow2

A upgraded version of DROO algorithm implemented based on Tensorflow 2

jwhra

A resource allocation algorithm for joinly wireless charging and hybrid power based base station

machine-learning-andrew-ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

machine-learning-cookbooks

A comprehensive implementation of Machine Learning algorithms: (i) without calling any pre-defined models; (ii) using TensorFlow.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mathematical-model-implementation

给出了作者本人参与的数学建模竞赛中所使用的相关算法的MATLAB实现。

stanford-advmatlab-advanced-matlab-for-scientific-computing

Course materials for the AdvMATLAB Advanced MATLAB for Scientific Computing MOOC on Stanford Online

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.