Showing 6 open source projects for "jsoncpp-src-0.5.0"

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  • AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities. Icon
    AI-powered SAST and AppSec platform that helps companies find and fix vulnerabilities.

    Trusted by 750+ companies and performing 200k+ code scans monthly.

    ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities.
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  • Self-hosted n8n: No-code AI workflows Icon
    Self-hosted n8n: No-code AI workflows

    Connect workflows. Integrate data

    A free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
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  • 1
    MetaVoice-1B

    MetaVoice-1B

    Foundational model for human-like, expressive TTS

    MetaVoice — in the form of its source repository “metavoice-src” — is a large-scale text-to-speech (TTS) model. Specifically, the base model (MetaVoice-1B) uses around 1.2 billion parameters and has been trained on a massive dataset — reportedly around 100,000 hours of speech data. The goal is to provide human-like, expressive, and flexible TTS: able to generate natural-sounding speech that can handle diverse inputs and likely generalize over voice styles, intonation, prosody, and perhaps multiple languages or accents. ...
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  • 2
    GPT-2 FR

    GPT-2 FR

    GPT-2 French demo | Démo française de GPT-2

    ...Tensorflow and gpt-2-simple are required in order to fine-tune GPT-2. Create an environment then install the two packages pip install tensorflow==1.14 gpt-2-simple. A script and a notebook are available in the src folder to fine-tune GPT-2 on your own datasets. The output of each workout, i.e. the folder checkpoint/run1, is to be put ingpt2-model/model1 model2 model3 etc. You can run the script deploy_cloudrun.shto deploy all your different models (into gpt2-model) at once. However, you must have already initialized the gcloud CLI tool (Cloud SDK).
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  • 3
    retina.js

    retina.js

    JavaScript helpers for rendering high-resolution image variants

    retina.js makes it easy to serve high-resolution images to devices with displays that support them. You can prepare images for as many levels of pixel density as you want and let retina.js dynamically serve the right image to the user. retina.js assumes you are using Apple's prescribed high-resolution modifiers (@2x, @3x, etc) to denote high-res image variants on your server. It also assumes that if you have prepared a variant for a given high-res environment, that you have also prepared...
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  • 4
    Text Expander, Inverse summarizer

    Text Expander, Inverse summarizer

    Expand text, inverse summarizer

    ...Make sure JAVA 1.7 development is installed and running/compiling properly with all environment variables properly set. 2. Uncompress the LITE release into a desired directory. 3. Go to a src/ directory with a Terminal/Console/Command-Prompt and do the following: javac Te2.java java Te2 The program should open.
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  • eMaint is an award-winning Computerized Maintenance Management Software (CMMS) for managing work orders, PM schedules, and parts inventory. Icon
    eMaint is an award-winning Computerized Maintenance Management Software (CMMS) for managing work orders, PM schedules, and parts inventory.

    50,000+ users worldwide rely on eMaint to predict failures, eliminate downtime, and improve reliability

    eMaint is an award-winning, cloud-based Computerized Maintenance Management System (CMMS) software designed to improve how organizations manage their maintenance reliability operations, resources, equipment, and compliance. Suitable for any size organization or enterprise, eMaint saves companies valuable time and money by integrating the tools they need in one powerful platform.
    Try it for free
  • 5
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ...It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. The compilation script simply concatenates files in src/ and then minifies the result.
    Downloads: 0 This Week
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  • 6
    QtCritters

    QtCritters

    Simple Qt/C++ Project for learning simulation programming.

    QtCritters is a simple critter simulation in C++ using Qt, currently under development. The goal of this project is to simulate a simple ecology of various kinds of animals, and to make the source easy to understand and modify. Still very very alpha...
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