awesome-mac | Collect premium software | Runtime Evironment library

 by   jaywcjlove JavaScript Version: 1.6.0 License: CC0-1.0

kandi X-RAY | awesome-mac Summary

kandi X-RAY | awesome-mac Summary

awesome-mac is a JavaScript library typically used in Server, Runtime Evironment, Nodejs, Maven applications. awesome-mac has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i awesome-mac' or download it from GitHub, npm.

 Now we have become very big and different from the original idea. Here we collect awesome macOS software in various categories. Feel free to star and fork. Any comments, suggestions? Let us know! We love PRs :) Please take a look at the contributing guidelines before opening one. Follow the awesome list. means open source, click to open open source repo; means free to use, or free personal license; means App store hyperlink; means hyperlink to a corresponding Awesome list for the item;.
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            kandi-support Support

              awesome-mac has a medium active ecosystem.
              It has 61277 star(s) with 5880 fork(s). There are 1427 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 98 open issues and 268 have been closed. On average issues are closed in 118 days. There are 35 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of awesome-mac is 1.6.0

            kandi-Quality Quality

              awesome-mac has 0 bugs and 0 code smells.

            kandi-Security Security

              awesome-mac has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              awesome-mac code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              awesome-mac is licensed under the CC0-1.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              awesome-mac releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of awesome-mac
            Get all kandi verified functions for this library.

            awesome-mac Key Features

            No Key Features are available at this moment for awesome-mac.

            awesome-mac Examples and Code Snippets

            No Code Snippets are available at this moment for awesome-mac.

            Community Discussions

            QUESTION

            What kind of feature extractor is used in vowpal wabbit?
            Asked 2017-Mar-31 at 23:20

            In sklearn when we pass sentence to algorithms we can use text features extractors like the countvectorizer, tf-idf vectoriser etc... And we get an array of floats.

            But what we get when passed to vowpal wabbit the input file like this one:

            ...

            ANSWER

            Answered 2017-Mar-30 at 21:47

            There are two separate questions here:

            Q1: Why can't you (and shouldn't you) use transformations like tf-idf when using vowpal wabbit ?

            A1: vowpal wabbit is not a batch learning system, it is an online-learning system. In order to compute measures like tf-idf (term frequency in each document vs the whole corpus) you need to see all the data (corpus) first, and sometimes do multiple passes over the data. vowpal wabbit as an online/incremental learning system is designed to also work on problems where you don't have the full data ahead of time. See This answer for a lot more details.

            Q2: How does vowpal wabbit "transform" the features it sees ?

            A2: It doesn't. It simply maps each word feature on-the-fly to its hashed location in memory. The online learning step is driven by a repetitive optimization loop (SGD or BFGS) example by example, to minimize the modeling error. You may select the loss function to optimize for.

            However, if you already have the full data you want to train on, nothing prevents you from transforming it (using any other tool) before feeding the transformed values to vowpal wabbit. It's your choice. Depending on the particular data, you may get better or worse results using a transformation pre-pass, than by running multiple passes with vowpal wabbit itself without preliminary transformations (check-out the vw --passes option).

            To complete the answer, let's add another related question:

            Q3: Can I use pre-transformed (e.g. tf-idf) data with vowpal wabbit ?

            A3: Yes, you can. Just use the following (post-transformation) form. Instead of words, use integers as feature IDs and since any feature can have an optional explicit weight, use the tf-idf floating point as weights, following the : separator in typical SVMlight format:

            Source https://stackoverflow.com/questions/43097894

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install awesome-mac

            aria2 - Lightweight multi-protocol & multi-source command-line download utility.
            Downie - Video downloader for macOS with support for YouTube and other 1200 sites.
            Deluge - Deluge is a lightweight, Free Software, cross-platform BitTorrent client.
            FOLX - Free download manager for Mac OS X with a true Mac-style interface.
            Free Download Manager - Powerful, modern download accelerator and organizer for Windows and Mac. (FREE)
            JDownloader - Free, open-source download management tool with a huge community of developers that makes downloading as easy and fast as it should be.
            Motrix - Motrix is a full-featured download manager that supports downloading HTTP, FTP, BitTorrent, Magnet, Baidu Net Disk, etc.
            qBittorrent - A project aims to provide an open-source software alternative to µTorrent.
            Shuttle - Easy Download Manager for any links.
            Transmission - Fast, easy, free BitTorrent Client.
            You-Get - Tiny command-line utility to download media contents (videos, audios, images) from the web.
            youtube-dl - Command-line program to download videos from YouTube.com and other video sites
            AppKed:~~http://www.macbed.com~~
            Softasm:~~https://softasm.com/~~

            Support

            Adium - Free instant messaging application for Mac OS X. Connect to AIM, MSN, SMPP, Yahoo and more.Caprine - Third-party privacy-focused Facebook Messenger app.DingTalk - Free, powerful and professional office tool used by over 5 million enterprises and organizations globally.Discord - All-in-one voice and text chat for gamers that's free, secure, and works on both your desktop and phone.Franz - Electron based, multi-protocol wrapper for web-based chat. One application, 23 messenger services.Gitter - Instant messaging and chat room system for developers as well as GitHub users. Developer friendly with Markdown syntax support.Keybase - Secure groups, files, and chat for everyone!Krisp - An AI-powered noise cancelling app that mutes background noise during calls.LimeChat - Open-source IRC client for Mac OS X.Messenger For Mac - Third-party Facebook messenger for Mac.Muzzle - A simple mac app to silence embarrassing notifications while screensharing.Rambox - Messaging and emailing app that combines common web applications into one.Element - Create, share communicate. Chat and call securely.Presentify - A mac app to draw on your screen while on calls, highlight your cursor, and more.Signal Desktop - Fast, simple, secure. Privacy that fits in your pocket.Skype - Cross-platform application that provides video chat and voice call services. Users can exchange images, text, video and any other digital documents.Shift - De-clutter your desktop workspace and streamline your accounts, apps, and workflows.Slack - Awesome tool for team collaboration and communication.Stack - Open, organize and use multiple web apps on a single screen. Stack your apps by categories or projects.Teambition - Team collaboration tool, including many features like task plan, schedule, file sharing, instant discussion and everything you need when collaborating with other team members.Telegram - Messaging app with a focus on speed and security.Textual - Internet Relay Chat (IRC) client.WeChat - Official WeChat app for Mac.WeeChat - The extensible command-line chat client.WhatsApp Desktop - Available in the Mac App Store, Whatsapp for Desktop.Airmail - Fast email client. For both Mac OS and iOS.Foxmail - Fast email client.MailTags - Use tags to organize email and schedule.N1 - Extensible, open-source mail app, free for developers and $7/month for Pro.Nylas Mail - Extensible desktop mail app built on the modern web.Polymail - Simple, beautiful and powerful email client.Postbox - Powerful, simple and beautiful email client, need to pay for a license.Spark - Fast email client. For both Mac OS and iOS.ThunderBird - Software that makes email easier.Edison Mail - A customisable, simple, and beautiful email client.Cyberduck - Free FTP, SFTP, WebDAV, S3, Backblaze B2, Azure and OpenStack Swift browser.Flow - Award-winning, beautiful, fast, and reliable FTP + SFTP client.Transmit - Highly flexible and intuitive FTP client, supports SFTP, S3 and iDisk/WebDAV.
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            Install
          • npm

            npm i awesome-mac

          • CLONE
          • HTTPS

            https://github.com/jaywcjlove/awesome-mac.git

          • CLI

            gh repo clone jaywcjlove/awesome-mac

          • sshUrl

            git@github.com:jaywcjlove/awesome-mac.git

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