Search Results for "machine language" - Page 22

Showing 768 open source projects for "machine language"

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  • 1
    anaGo

    anaGo

    Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition

    anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes...
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  • 2
    DeepLearn

    DeepLearn

    Implementation of research papers on Deep Learning+ NLP+ CV in Python

    Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning.
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  • 3
    SLING

    SLING

    A natural language frame semantics parser

    The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic...
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  • 4
    EvalAI

    EvalAI

    Evaluating state of the art in AI

    EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. We allow the creation of an arbitrary number of evaluation phases and dataset splits, compatibility using any programming language, and organizing results in both public and private leaderboards. Certain large-scale challenges need special computing capabilities for evaluation.
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    openVmTil

    openVm : Tookit for Implementing (and exploring) Languages

    *An Exploration of Language Theory - and its Machine Implementation* *Imagine a low level, optimizing, virtual machine (like llvm) that is an extensible scripting language and that is small enough to be easily verified, where even the runtime is reconfigurable - minimize that.* *Current focus (to do) : * minimal bootstrap, self-hosting, patterns/sets, logic, tail call, type checking, gui
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  • 6
    Tensor Comprehensions

    Tensor Comprehensions

    A domain specific language to express machine learning workloads

    Tensor Comprehensions (TC) is a fully functional C++ library that automatically synthesizes high-performance machine learning kernels using Halide, ISL, and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and PyTorch. We provide more details in our paper on arXiv. This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor library with memory allocation, offloading, and synchronization capabilities.
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  • 7
    OpenPR
    OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
    Downloads: 2 This Week
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  • 8
    WireFactory Simulator

    WireFactory Simulator

    Small factory simulator for control logic test purpose

    Wire Factory Simulator (WFS) is a free software to simulate the control of a factory, mainly controlled by IEC 61499 applications. You can build your own factory and controller. The controller can be implemented on any programming language. WFS was originally built to simulate the action of an IEC 614999 application. So, the devices in the factory are easily connected to IEC 61499 applications. The WFS were mainly tested with FBDK (http://www.holobloc.com/). Wire Factory has been...
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  • 9

    bc9Basic

    Basic To c/c++ translator

    bc9Basic is a computer programming language that converts basic syntax source code to c/c++ source ready to be compiled into machine code by a number of c/c++ compilers. It is a direct descendant of BCX.
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  • 10
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It...
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  • 11

    Pascal-S

    Pascal-S compiler/interpreter for Pascal subset

    This is the original Pascal-S project from Niklaus Wirth at ETH Zurich. It compiles and interprets in one step a subset of the Pascal language, and does it in only about 2000 lines. You can find all of the Pascal-P versions here in sourceforge: https://sourceforge.net/projects/pascal-s/ https://sourceforge.net/projects/pascal-p2/ https://sourceforge.net/projects/pascalp4/ https://sourceforge.net/projects/pascalp5/ https://sourceforge.net/projects/pascal-p6/
    Downloads: 1 This Week
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  • 12
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,...
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  • 13
    GNAT

    GNAT

    GNAT recognizes gene names in text and maps them to NCBI Entrez Gene

    GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.
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  • 14

    JILRuntime/JewelScript

    An object-oriented script language to embed in any application

    A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting.
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  • 15
    Deep Learning

    Deep Learning

    Deep Learning Book Chinese Translation

    With the help and proofreading of many netizens, the Chinese version was finally published. Although there are still many problems, at least 90% of the content is readable and accurate. We have preserved the meaning of the original book Deep Learning as much as possible and retained the original language of the book. However, our level is limited, and we cannot eliminate the variance of many readers. We still need everyone's advice and help to reduce translation bias together. All you have...
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  • 16
    Write a hash table in C

    Write a hash table in C

    Learn how to write a hash table in C

    ...Understanding of how a fundamental data structure works under the hood. Deeper knowledge of when to use hash tables, when not to use them, and how they can fail. Exposure to new C code. The language doesn't come with one included. It is a low-level language, so you get deeper exposure to how things work at a machine level. The full implementation is around 200 lines of code, and should take around an hour or two to work through. This tutorial assumes some familiarity with programming and C syntax. The code itself is relatively straightforward, and most issues should be solvable with a web search. ...
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  • 17
    DMTK

    DMTK

    Microsoft Distributed Machine Learning Toolkit

    ...This architecture allows developers to build machine learning systems capable of processing massive datasets and training complex models with reduced infrastructure requirements. DMTK also includes several specialized algorithms and systems, such as LightLDA for large-scale topic modeling and distributed implementations of word embedding techniques used in natural language processing.
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  • 18
    google-translate-api

    google-translate-api

    A free and unlimited API for Google Translate

    A free and unlimited API for Google Translate. The language in which the text should be translated. Must be one of the codes/names (not case sensitive) contained in languages.js. Auto language detection, spelling correction, language correction. Fast and reliable – it uses the same servers that translate.google.com uses.
    Downloads: 2 This Week
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  • 19
    Eve

    Eve

    Better tools for thought

    Eve is a programming language and IDE based on years of research into building a human-first programming platform. From code embedded in documents to a language without order, it presents an alternative take on what programming could be - one that focuses on us instead of the machine. We've made tremendous advancements since the early days of programming, but the modern form still forces us into the role of bit shifting machines.
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  • 20
    Seq2seq Chatbot for Keras

    Seq2seq Chatbot for Keras

    This repository contains a new generative model of chatbot

    This repository contains a new generative model of chatbot based on seq2seq modeling. The trained model available here used a small dataset composed of ~8K pairs of context (the last two utterances of the dialogue up to the current point) and respective response. The data were collected from dialogues of English courses online. This trained model can be fine-tuned using a closed-domain dataset to real-world applications. The canonical seq2seq model became popular in neural machine...
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  • 21
    A spring-based 3D graph layout tool written in Java. Rendering is performed in OpenGL via the JOGL library.
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  • 22

    Devanagari OCR

    Devanagari Optical Character Recognition, Annotation tool

    ...The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138
    Downloads: 1 This Week
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  • 23
    Speakable Programming for Every Language

    Speakable Programming for Every Language

    Your language to speak with all.

    This project has the language data for spel, the main new codebase is at: https://gitlab.com/liberit/pyac A computer programming language using human language syntax for human-to-human and human-to-computer communication with high precision, supporting many languages. Currently has alpha prototype support for analytic versions of the UN languages English, Mandarin Chinese, Spanish, Arabic, Russian...
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  • 24

    Cminor

    An object-oriented garbage collected experimental programming language

    Cminor is a general-purpose, object-oriented garbage collected experimental programming language whose core statements and expression are borrowed from C#. Cminor programs run in a virtual machine.
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  • 25
    Wi-Fi Ducky

    Wi-Fi Ducky

    Upload, save and run keystroke injection payloads with an ESP8266

    ...The ESP will open up a Wi-Fi access point and host a web interface from which you can upload and manage your scripts. When you hit run, it will send the script to the ATmega, which then will execute it on the target machine.
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