[论文阅读笔记]（CVPR 2022）Contrastive Boundary Learning for Point Cloud Segmentation

用于构建高质量数据集和计算机视觉模型的开源工具。 •• •••• 是由创建的开源ML工具，可帮助您构建高质量的数据集和计算机视觉模型。 使用FiftyOne，您可以搜索，排序，过滤，可视化，分析和改善数据集，而无需进行过多的整理或编写自定义脚本。它还提供了用于分析模型的强大功能，使您能够了解模型的优缺点，可视化，诊断和纠正其故障模式，等等。 FiftyOne的设计轻巧，可轻松集成到您现有的CV / ML工作流程中。 您可以加入我们的Slack社区，阅读我们在Medium上的博客，并在社交媒体上关注我们，从而参与其中： 安装 您可以通过pip安装FiftyOne的最新稳定版本： pip install fiftyone 请查阅以获取故障排除以及有关使用FiftyOne进行启动和运行的其他信息。 快速开始 通过启动快速入门，直接进入FiftyOne： fiftyone quicksta

CV-learning

U-GAT-IT的官方PyTorch实施：带有自适应层实例规范化的无监督生成注意网络，用于图像到图像的转换U-GAT-IT —官方PyTorch实施：具有自适应的层实例化规范化的无监督生成注意网络，用于图像图像翻译论文| 正式的Tensorflow代码本文的结果来自Tensorflow代码U-GAT-IT：具有自适应层实例规范化的无监督生成注意网络，用于图像到图像的翻译摘要：我们提出了一种新的方法，用于无监督的图像到图像的翻译，其中包含一个新的atte

About This Book, Leverage Python' s most powerful open-source libraries for deep learning, data wrangling, and data visualization, Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms, Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets, Who This Book Is For, If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource., What You Will Learn, Explore how to use different machine learning models to ask different questions of your data, Learn how to build neural networks using Keras and Theano, Find out how to write clean and elegant Python code that will optimize the strength of your algorithms, Discover how to embed your machine learning model in a web application for increased accessibility, Predict continuous target outcomes using regression analysis, Uncover hidden patterns and structures in data with clustering, Organize data using effective pre-processing techniques, Get to grips with sentiment analysis to delve deeper into textual and social media data, Style and approach, Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

This book sets out to introduce people to important machine learning algorithms. Tools and applications using these algorithms are introduced to give the reader an idea of how they are used in practice today. A wide selection of machine learning books is available, which discuss the mathematics, but discuss little of how to program the algorithms. This book aims to be a bridge from algorithms presented in matrix form to an actual functioning program. With that in mind, please note that this book is heavy on code and light on mathematics.

#清磁盘啦~，CSDN“网盘”真好用，感谢CSDN~ 机器学习，基于朴素贝叶斯机器学习算法实现对情感文本分析与分类（含数据集），sgns.weibo.bigram-char，使用gensim加载预训练中文分词

#清磁盘啦~，CSDN“网盘”真好用，感谢CSDN~ 机器学习，基于KNN算法对银行客户的历史数据进行分类分析，通过研究客户的历史行为来捕捉流失客户的特点，分析客户流失原因，从而可以在客户真正流失之前做出相应的营销干预，对客户进行挽留。

深度学习黑白照片彩色化论文 Let there be Color Joint End-to-end Learning of Global and Local Image Priors.pdf

数据库和分布式系统 数据库与分布式系统学习资料总结，有缘人进来点个星星，祝您一生平安靴靴。 数据库系统简介（2019年秋季） 高级数据库系统（2020年Spring） 这个repo中的CMU-15-721包含了每一个课堂的幻灯片，我的课堂笔记以及每堂课必读的论文 分布式系统 接下来的计划应该就是上这门课，写SimpleDB SIMD 容灾相关 推出是15-721第一门课要求读的论文，发现了新SQL的特性和HTAP是趋势 数据库入门必备，让您对关系型数据库有一个整体架构的理解。 首先多种并发控制策略在多核CPU下的性能指标 Andy口中世界上南波万的关于MVCC的paper ..读就完事了 列式数据库的综述论文，87页 方法化执行引擎和编译执行引擎的简单介绍 skipList 特里树 板蓝根 B / B +树 LSM树 红黑树 咆哮的位图 位图 参考BitSet写的一个很弱智的位图 快取