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siyuxin's Projects

algorithmmap icon algorithmmap

建立你的算法地图:如何高效学习算法;算法工程师:从小白到专家

awesome-automl-and-lightweight-models icon awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-noah icon awesome-noah

:octocat: AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)

chatnio icon chatnio

🚀 下一代 AI 一站式解决方案,一站式 Chat + 中转 API 站点,支持 OpenAI,Midjourney,Claude,讯飞星火,Stable Diffusion,DALL·E,ChatGLM,通义千问,腾讯混元,360 智脑,百川 AI,火山方舟,新必应,Google Gemini (PaLM2),Moonshot,LocalAI 等模型,支持对话分享,自定义预设,云端同步,模型市场,支持弹性计费 / 订阅计划模式,支持图片解析,支持联网搜索,支持模型缓存,丰富美观的后台管理与仪表盘数据统计。

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。

deep-learning icon deep-learning

:computer:Tensorflow实战:手写数字识别、Discuz验证码识别

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

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。

hangzhou-house-guide icon hangzhou-house-guide

2022年杭州购房指南,根据个人多年购房选房经历,总结而成的一篇买房攻略,涉及新房摇号和二手房选购,包含大量杭州城市规划资料。

interview icon interview

Interview = 简历指南 + LeetCode + Kaggle

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

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