Java Language Specification Third Edition ========================================= 1 Introduction 1.1 Example Programs 1.2 Notation 1.3 Relationship to Predefined Classes and Interfaces 1.4 References 2 Grammars 2.1 Context-Free Grammars 2.2 The Le
Question2Answer 是一个用 PHP 实现的类 StackOverflow 网站的问答系统。 Question2Answer v1.5.4 changelog： Bug Fixes Prevented multiple accounts with the same email address when logging in via an external identity provider. Updated Facebook plugin for change in locatio
UPPAAL is an integrated tool environment for modeling, simulation and, verification of real-time embedded systems. Typical application areas of UPPAAL includes real-time controllers and communication protocols in particular, those where timing aspec
nRF51 SDK v10.0.0 ----------------- Release Date: Week 46 Highlights: - New BLE Peer Manager (experimental), replacement for the BLE Device Manager - FreeRTOS support - New ANT modules, additional examples, and new and expanded ANT+ profiles - Suppo
<?php /** * CakePHP(tm) : Rapid Development Framework (https://cakephp.org) * Copyright (c) Cake Software Foundation, Inc. (https://cakefoundation.org) * * Licensed under The MIT License * For full copyright and license information, please s
<?php namespace Valitron; /** * Validation Class * * Validates input against certain criteria * * package Valitron * author Vance Lucas * link http://www.vancelucas.com/ */ class Validator { public function __construct($data = arr
CognitiveJ 是一个开源的 Java 图像分析库，可轻松实现对图像检测、解析以及人脸识别和特征识别的功能。强大的功能包括：Facial Detection: Capture faces, gender, age, associated facial features, and landmarks from an image.Emotion Detection: Derive emotional state from faces within an image.Verification:
dafny语言源代码
dafny 一种微软推出的编程语言用于程序正确性验证。是一种新型的语言。
(dafny one kind of Microsoft' s programming language for program correctness verification. Is a new language.)
实现生成对抗网络（Generative-Adversarial-Networks，GAN）的工程实现。
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in thi
LFW数据集主要测试人脸识别的准确率，该数据库从中随机选择了6000对人脸组成了人脸辨识图片对，其中3000对属于同一个人2张人脸照片，3000对属于不同的人每人1张人脸照片。测试过程LFW给出一对照片，询问测试中的系统两张照片是不是同一个人，系统给出“是”或“否”的答案。通过6000对人脸测试结果的系统答案与真实答案的比值可以得到人脸识别准确率。
这个集合被广泛应用于评价 face verification算法的性能。
