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机器学习工程师、算法工程师、软件工程师、数据科学家-面试指南 | Interview guide for MLE, SDE, DS
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
This is the notes of the way of machine learning study. You may find something useful in it.
机器学习、深度学习的学习路径及知识总结
存放JAVA开发的设计思想、算法：《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机：JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程思想(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》；一些大的上传不上来的文件在README
Java开发者技术书籍大全 - Java入门书籍，Java基础及进阶书籍，框架与中间件，架构设计，设计模式，数学与算法，JVM周边语言，项目管理&领导力&流程，职业素养与个人成长，格局与视野，面试参考书等。
Curated list of project-based tutorials
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
This repository record My study of DataAnalysis including operation and conception.(学习数据分析的过程记录，总结，以及资料整理收集)
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇
A 3D Slicer integration to Meta's SAM.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Note-of-Applied-Statistics-with-R
NVIDIA's Deep Imagination Team's PyTorch Library
得意黑 Smiley Sans：一款在人文观感和几何特征中寻找平衡的中文黑体
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
R Package for 2D and 3D mapping and data visualization