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韩顺平Java零基础markdown整理（A detailed tutorial of java from 0 to 1）
这个平台旨在提供一个高效、便捷的数据处理和分析环境，适用于数据科学家、数据工程师以及任何对数据处理有需求的用户。
✨✨Latest Papers on Vision Mamba and Related Areas
💍A simple and elegant Android native UI framework, free your hands! (一个简洁而优雅的Android原生UI框架，解放你的双手！)
时间轴Android Timeline View is used to display views like Tracking of shipment/order, steppers etc.
OneBottomNavigationBar 是自定义的一个实现App应用底部导航栏功能的View,可以实现底部 2-5 个导航菜单（一般不会有更多），可以实现某一个菜单凸起的效果，如，有5个菜单，可以选择让第三个菜单凸起（floating），这是很多App都有的功能; 可以根据编写的颜色变化的资源文件来更改图标和文字选中时和未选中时的颜色，可以自由控制是否需要选中（checkable）,选…
The bottom navigation widget based on the menu. 基于菜单实现的底部导航栏控件。
这是一个封装了android常用的底部导航栏+fragment的库，用这个库，我们可以几行代码就搞定大多数APP的主界面的布局
兼容android 10，自定义相机拍照。android图片选择、裁剪、压缩，自定义相机仿微信拍照，相册选择(单选/多选)，文件夹图片选择(单选/多选)，各界面根据状态栏颜色智能适配状态栏字体颜色变色为深色或浅色，根据使用场景智能适配沉浸式状态栏，内部处理运行时权限，支持Glide/Picasso/Fresco/Imageloader等所有图片加载框架库的带默认勾选选中图片的能填充自定义广告…
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A GradCAM automatic script to visualize the model result
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
A game theoretic approach to explain the output of any machine learning model.
Official PyTorch code for "Transformer-based out-of-distribution detection for clinically safe segmentation"
Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution…
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函…
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
👽 Out-of-Distribution Detection with PyTorch
Official Implementation of AAAI 2024 "How to Overcome Curse-of-Dimensionality for OOD Detection?" paper
Code for AAAI2024 Paper: Exploiting Discrepancy in Feature Statistic for Out-of-distribution Detection
💯2024年系统分析师（软考高级）备考资源库。PC版配套免费刷题软件：https://ruankaodaren.com
Official code of "VRA: Variational Rectifed Activation for Out-of-distribution Detection"