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sherlockholmes163's Projects

awesome-deeplearning icon awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

computational-intelligence icon computational-intelligence

记录计算智能优化算法的学习笔记,通过阅读论文并复现的形式加深对相关的启发式智能优化的理解。

concrete-compressive-strength-prediction icon concrete-compressive-strength-prediction

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropri

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

gwosvr icon gwosvr

Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)

indeedopt icon indeedopt

An optimization framework using Latin Hypercube Design and deep learning to explore high-dimensional parameter spaces.

leedl-tutorial_-2021- icon leedl-tutorial_-2021-

《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

machinelearning-- icon machinelearning--

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

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pso-based-svr icon pso-based-svr

PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.

svm icon svm

Tutorial: Support Vector Machine from scratch using Python3

thorough-pytorch icon thorough-pytorch

PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/

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