Posts
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progress.js
ProgressJs is a JavaScript and CSS3 library which help developers to create and manage progress bar for every objects on the page.
ProgressJs is a JavaScript and CSS3 library which helps developers create and manage progress bars for every object on the page.
Tags: #javascript
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react-snapshot
A zero-configuration static pre-renderer for React apps
⚠️⚠️⚠️ DEPRECATED: USE https://github.com/stereobooster/react-snap INSTEAD ⚠️⚠️
A zero-configuration static pre-renderer for React apps. Starting by targeting Create React App (because it’s great)
Tags: #javascript
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flawfinder
a static analysis tool for finding vulnerabilities in C/C++ source code
This is “flawfinder” by David A. Wheeler.
Flawfinder is a simple program that scans C/C++ source code and reports potential security flaws. It can be a useful tool for examining software for vulnerabilities, and it can also serve as a simple introduction to static source code analysis tools more generally. It is designed to be easy to install and use. Flawfinder supports the Common Weakness Enumeration (CWE) and is officially CWE-Compatible.
For more information, see the project website
Tags: #python
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dynamic-dns-netcup-api
A simple dynamic DNS client written in PHP for use with the netcup DNS API.
This project is not affiliated with the company netcup GmbH. Although it is developed by an employee, it is not an official client by netcup GmbH and was developed in my free time. netcup is a registered trademark of netcup GmbH, Karlsruhe, Germany.
A simple dynamic DNS client written in PHP for use with the netcup DNS API.
Tags: #php • dns • netcup
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plaid-ruby
Ruby bindings for Plaid
The official Ruby bindings for the Plaid API. It’s generated from our OpenAPI schema.
Tags: #ruby
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SimplifySpan
A easy-to-use and powerful Spannable library
A easy-to-use and powerful Spannable library
Tags: #java • android-library • textview
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MulimgViewer
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
Doc: English Doc 完整官网文档 Wiki Mirror: 国内gitee镜像项目 果壳OpenCas镜像项目 Link: 快速入门 下载和安装 如果有一些超链接失效，请通过issue反馈。
Tags: #python • image-stitching • deep-learning
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promptpay-qr
🏦 Mobile web app (https://promptpay2.me), command line app, and JavaScript library to generate QR Code payload for PromptPay.
Mobile web app, command line app, and JavaScript library to generate QR Code payload for PromptPay.
Tags: #javascript • promptpay-qr
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access-granted
Multi-role and whitelist based authorization gem for Rails (and not only Rails!)
AccessGranted is a multi-role and whitelist based authorization gem for Rails. And it’s lightweight (~300 lines of code)!
Tags: #ruby • cancan • rails
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AI
Microsoft AI
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to intelligence of humans and other animals. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs.
AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making, and competing at the highest level in strategic game systems (such as chess and Go).
As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology.
Artificial intelligence was founded as an academic discipline in 1956, and in the years since it has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “AI winter”), followed by new approaches, success, and renewed funding. AI research has tried and discarded many different approaches, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge, and imitating animal behavior. In the first decades of the 21st century, highly mathematical and statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.
The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects. General intelligence (the ability to solve an arbitrary problem) is among the field’s long-term goals. To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability, and economics. AI also draws upon computer science, psychology, linguistics, philosophy, and many other fields.
Tags: #python
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