Search Results for "stanford"
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Showing 63 open source projects for "stanford"
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BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
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MindCloud is a software company that builds and maintains custom connections between your software and other platforms utilizing a cutting edge integration platform allowing you to eliminate manual data entry and start automating and scaling your business.
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Stanford CoreNLP
Stanford CoreNLP, a Java suite of core NLP tools
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text,... -
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Stanford Data Miner
Tools for integration and analysis of heterogeneous immunological data
An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans... -
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Alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
Run a fast ChatGPT-like model locally on your device. This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint... -
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D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth... -
NetCrunch is a smart, agentless network monitoring and management software system capable of monitoring every device in a network. Developed by AdRem Software, NetCrunch helps businesses of all sizes remotely monitor network services, switches, routers, bandwidth utilization, and traffic flow and visualize their system performance.
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of... -
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snorkel
A system for quickly generating training data with weak supervision
The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical... -
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ImplicitGlobalGrid.jl
Distributed parallelization of stencil-based GPU and CPU applications
ImplicitGlobalGrid is an outcome of a collaboration of the Swiss National Supercomputing Centre, ETH Zurich (Dr. Samuel Omlin) with Stanford University (Dr. Ludovic Räss) and the Swiss Geocomputing Centre (Prof. Yuri Podladchikov). It renders the distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid almost trivial and enables close to ideal weak scaling of real-world applications on thousands of GPUs [1, 2, 3]. ImplicitGlobalGrid relies on the Julia... -
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Argilla
The open-source data curation platform for LLMs
Argilla is a production-ready framework for building and improving datasets for NLP projects. Deploy your own Argilla Server on Spaces with a few clicks. Use embeddings to find the most similar records with the UI. This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred... -
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Tock
Tock, the open source conversational AI toolkit
Complete and autonomous NLU solution leveraging opensource libs, such as OpenNLP, Stanford, Duckling and more. Web, mobile, social networks, smart speakers and more. Create your bot once, connect it progressively to multiple channels as you need them. Simple graphical interfaces to build stories and models, manage multilingual and multichannel bots, better understand users with analytics. Program complex stories using Kotlin, Python or Node.js provided components, or integrate with any language... -
Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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KEditor
An Editor to teach Programming Fundamentals using Karel Robot
This Editor is used for educational purposes in First Programming Course. It is integrated with Karel Robot library developed by Stanford. It is a secure editor with limited capabilities to enforce the students to avoid copy and paste, do it by yourself methodology. You can use Karel commands and write new functions and run your program without any hassle to configure Karel. Every program stamped with Author name which, once set, is not allowed to be changed. You need to install JDK 1.8... -
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qpidctrl
Qt-based Control of various temperature controllers
A Qt-based application to interface to a number of different temperature controllers. Watlow 988 Series Stanford Research Systems PTC10 Oxford Cryostream Lakeshore LS3xx series -
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SUNTANS
Unstructured-grid, nonhydrostatic ocean model
The Stanford unstructured-grid, nonhydrostatic, parallel coastal ocean model. For simulation of nonhydrostatic flows at high resolution in estuaries and coastal seas. Requires a grid generator and ParMETIS (if run in parallel). -
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SPL Compiler
Student Programming Language (SPL) a subset of PL/I
Student Programming Language (SPL) compiles and executes programs written in a subset of PL/I. SPL was created by David B. Wortman in 1969 at Stanford University as a teaching tool for beginning programmers. In 1970 the compiler was modified by Robin A. Vowels at Royal Melbourne Institute of Technology to be more compatible with the PL/I language. The compiler is written in XPL using an MSP parser. XPL is described in the book "A Compiler Generator" by McKeeman, Horning and Wortman. -
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Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text.Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
... this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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php-stanford-corenlp-adapter
PHP adapter for Stanford CoreNLP (tagger, Lemma, NER)
PHP adapter for use with Stanford CoreNLP -
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stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found in the site. For this course, I use python3.6 and TensorFlow 1.4.1. -
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sjcl
Stanford Javascript Crypto Library
The Stanford Javascript Crypto Library is a project by the Stanford Computer Security Lab to build a secure, powerful, fast, small, easy-to-use, cross-browser library for cryptography in Javascript. SJCL is small but powerful. The minified version of the library is under 6.4KB compressed, and yet it posts impressive speed results. SJCL is secure. It uses the industry-standard AES algorithm at 128, 192 or 256 bits; the SHA256 hash function; the HMAC authentication code; the PBKDF2 password... -
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We defined an annotation for dependency relation for Indonesian sentences. The annotation was adapted from the Stanford type Dependency annotation. The paper related to this annotation might be downloaded at http://ijtech.eng.ui.ac.id/article/view/878
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file_lemmater
text file quick lemmater
This executable get a text file (input name "in.txt" at the same folder where the executable is) and creates a file called "out.txt" with the same content but each noun, adjective or verb is lemmatized. From the Aseryla (https://memla.000webhostapp.com/index.html) system that combines the Stanford Core NLP (https://stanfordnlp.github.io/CoreNLP/index.html) and the CSTlemmatiser(http://cst.dk/online/lemmatiser/uk/) -
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romzdb
SQL relational database
This is a relational database project based on RedBase project from Stanford University See https://web.stanford.edu/class/cs346/2015/redbase.html The program is implemented in C++. -
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... where sentences are normalized and inserted into the supporting database. Multiple narratives can be listed in the text file, where narratives are separated using a # symbol. The text upload process entitles the initial (POS) tagging of uploaded text using Stanford (POS) tagger. The user can later modify and extend the initial tagging. The resultant annotations are stored in the supporting database. These results can be exported to excel or text files for further processing.
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Phrasal
Statistical phrase-based machine translation system
Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group... -
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Arabic business corpora
Arabic business and management corpus
This corpora is made up of 3 sub corpora as follows: 1) Management Corpus: 400 articles by Chairmans and CEOs of Arabic companies in the Middle East. 2) Economics News: 400 news articles from different Arabic online newspapers. 3) Stock market news, 400 articles collected from investing.com. The main corpora contains 1200 articles. The articles have been tagged using Stanford Arabic Part of Speech Tagger. Both plain text and tagged corpora are available to download, check the Files section... -
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StanfordCoreNLPClient
A simple Java client for querying a Stanford CoreNLP XML Server.
A simple Java client for querying a Stanford CoreNLP XML Server https://github.com/nlohmann/StanfordCoreNLPXMLServer