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sincolxu's Projects

alios-things icon alios-things

AliOS Things latest version: https://github.com/alibaba/AliOS-Things/tree/rel_3.0.0. Please go to https://aliosthings.iot.aliyun.com to get your minimal code.

anti-anti-spider icon anti-anti-spider

越来越多的网站具有反爬虫特性,有的用图片隐藏关键数据,有的使用反人类的验证码,建立反反爬虫的代码仓库,通过与不同特性的网站做斗争(无恶意)提高技术。(欢迎提交难以采集的网站)(因工作原因,项目暂停)

apollo icon apollo

An open autonomous driving platform

cut_image icon cut_image

使用python PIL 库将一张照片切分为9张图

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17个章节,20多万字。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

eosjs icon eosjs

General purpose library for the EOS blockchain.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml icon handson-ml

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

imageqa-public icon imageqa-public

Code for paper "Exploring Models and Data for Image Question Answering"

lane-detector icon lane-detector

Lane detection using Canny edge detector and Hough transform.

lanenet-lane-detection icon lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

mit-deep-learning icon mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

neuraltalk2 icon neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python icon python

All Algorithms implemented in Python

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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