Search Results for "survey software"
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Showing 16 open source projects for "survey software"
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SurveyJS
JavaScript Survey and Form Library
SurveyJS Form Library is distributed as npm packages and as scripts and style sheets that you can reference on your page. You can use it in any React, Angular, Vue, Knockout, or jQuery application. React, Angular, Knockout, and Vue3 are supported natively. To communicate with the server, the libraries use JSON objects that represent form schemas (content and layout of a form) and form results (answers). You have the option to build dynamic JSON-driven forms using our free full-featured... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed... -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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deep2Read
This website includes a (growing) list of papers and lectures
As a group, we need to improve our knowledge of the fast-growing field of deep learning. To educate students in our graduate programs, to help new members in my team with basic tutorials, and to help current members understand advanced topics better, this website includes a (growing) list of tutorials and papers we survey for such a purpose. We hope this website helps people who share similar research interests or those interested in learning advanced topics about deep learning. -
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Feflow
How to write cross-platform Node.js code
How to write cross-platform Node.js code. Why you should care: according to the 2018 Node.js user survey, 24% of Node.js developers use Windows locally and 41% use Mac. In production, 85% use Linux and 1% use BSD. Installers for each major OS are available on the Node.js website. To install, switch and update Node.js versions nvm can be used on Linux/Mac. It does not support Windows but nvm-windows, nvs and ps-nvm (for PowerShell) are alternatives that do. nve can be used to run a single... -
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Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
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Xross Tab / QScript
Market Research Data Processing Suite
XTCC/Qscript revolves around two concepts: 1) Data collection : Qscript 2) Data analysis : XTCC Qscript enables Market Research companies to securely collect data using online and offline mediums such as web, tablets/mobile. Different products include: 1) Pen and Paper Survey Management Qscript enables faster and easier keyboard entry with real time logic and validation. It generates SPSS and IBM Quantum compatible data tabulation programs leading to significant time savings of up... -
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Survey Developer Library 4 Java
Java framework with reusable patterns and classes
A generic Java framework with reusable patterns and classes for enhanced development -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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SYMPLiK CALLA is a Java framework for wizard-driven applications. This framework allows developers to design text application (e.g. survey, interactive console), running in GUI and text-only environment using the same content and flow logic.
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Rydia is a web-based, AJAX frontend to the JSurveyLib survey engine. It provides an easy way to configure surveys / questionnaires and display them on a website. Rydia will work with any web framework because it integrates like an AJAX widget.
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Topsl (The Online Psychology Survey Language) is a programming language designed to make it easy to write sophisticated Web-based surveys. It features integrated support for longitudinal studies and arbitrary branching and looping on longitudinal data.
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A complete survey administration and data collection system. A fully featured replacement for Quancept, supporting CAPI, Web, CATI, PDA and Paper survey modes. Sonar is the reference implementation of JCaiF for CAPI and Web survey interviewing. Try it!
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### Project Renamed to bitweaver ### CMS with: tiki & pear wiki, cms, articles / news, phpBB forum bulletin board, blogs, image photo gallery, file sharing, poll/survey, calendar. tikiwiki upgrade PHP,MySQL,Postgres,Oracle,FireBird on Windows & Linux
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Exquisite is a survey generator that uses a simple domain-specific language for specifying a survey. The generator creates a specialised perl script for your survey. It allows you to use perl code for specifying validators and error handling etc.
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