Showing 11 open source projects for "how to setup quast"

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  • User Testing Platform | Testeum Icon
    User Testing Platform | Testeum

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  • 1
    Google Assistant Unofficial Desktop

    Google Assistant Unofficial Desktop

    A cross-platform unofficial Google Assistant Client for Desktop

    ... the project for yourself, you can download the Assistant Setup/Installer for the respective platform from here (releases). You can download it from other official sources as well. If you are on Windows 11, chances are you have winget pre-installed. If you are on older version of Windows (Windows 10) and don't have it installed, check out Install Winget documentation section to learn how to install it.
    Downloads: 109 This Week
    Last Update:
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  • 2
    JMusicBot

    JMusicBot

    A Discord music bot that's easy to set up and run yourself

    A cross-platform Discord music bot with a clean interface, and that is easy to set up and run yourself! Easy to run (just make sure Java is installed, and run!) Fast loading of songs. No external keys are needed (besides a Discord Bot token) Smooth playback. Server-specific setup for the "DJ" role that can moderate the music. Clean and beautiful menus. Supports many sites, including Youtube, Soundcloud, and more. Supports many online radio/streams. Supports local files. Playlist support (both...
    Downloads: 4 This Week
    Last Update:
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  • 3
    Acharya

    Acharya

    A Data Centric annotation tool for your Named Entity Recognition

    ... setup when run for the first time. Rapidly identify and fix labeling errors in your dataset. Import/export datasets in multiple formats, train a model and use it to aid in the annotation process. Setup an MLOps pipeline to experiment with different algorithms on the same data and increase their accuracy and performance in a data-centric way. Gain insights about your training & test data, distribution of annotated entities, and decide how to curate your data for better accuracy.
    Downloads: 0 This Week
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  • 4
    Chameleon LLM

    Chameleon LLM

    Codes for "Chameleon: Plug-and-Play Compositional Reasoning

    Discover Chameleon, our cutting-edge compositional reasoning framework designed to enhance large language models (LLMs) and overcome their inherent limitations, such as outdated information and lack of precise reasoning. By integrating various tools such as vision models, web search engines, Python functions, and rule-based modules, Chameleon delivers more accurate, up-to-date, and precise responses, making it a game-changer in the natural language processing landscape. With GPT-4 at its...
    Downloads: 0 This Week
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  • 5
    PyTorch/XLA

    PyTorch/XLA

    Enabling PyTorch on Google TPU

    PyTorch/XLA is a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. You can try it right now, for free, on a single Cloud TPU with Google Colab, and use it in production and on Cloud TPU Pods with Google Cloud. Take a look at one of our Colab notebooks to quickly try different PyTorch networks running on Cloud TPUs and learn how to use Cloud TPUs as PyTorch devices. We are also introducing new TPU VMs for more transparent...
    Downloads: 0 This Week
    Last Update:
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  • 6
    Screen Translate

    Screen Translate

    An OCR translator tool made by utilizing tesseract & python-opencv

    ... for translation if not using libretranslate # Tutorial on How To Setup https://github.com/Dadangdut33/Screen-Translate#installation-and-setup
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    Downloads: 95 This Week
    Last Update:
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  • 7
    EasyTTS

    EasyTTS

    Text to Speech Utility

    EasyTTS is a text to speech app for 64 bit Windows that offers online and offline text-to-speech, with settings for how fast the voice is. It supports languages other than English but only if you are connected to the Internet. These are Spanish, Portuguese, Russian, French, and Mandarin (?) Chinese.
    Downloads: 7 This Week
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  • 8
    PyTTI-Notebook

    PyTTI-Notebook

    PyTTI-Notebook

    Recent advances in machine learning have created opportunities for “AI” technologies to assist unlocking creativity in powerful ways. PyTTI is a toolkit that facilitates image generation, animation, and manipulation using processes that could be thought of as a human artist collaborating with AI assistants. The underlying technology is complex, but you don’t need to be a deep learning expert or even know coding of any kind to use these tools. Understanding the underlying technology can be...
    Downloads: 0 This Week
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  • 9
    Next Generation Programming

    Next Generation Programming

    Compose Software Without Writing Any Programing Code

    ... and upload to chip for designed circuits (ESP8266, ESP32 chips) The Software in question is much simpler to use than PWCT (https://sourceforge.net/projects/doublesvsoop/) software. The Software has more features than PWCT software such as SCADA. Please start by looking at examples from the website first. In this way, you can learn the features of the software and how to use the software in a very short time. More Information (Documents, Videos, Examples ...) : negep.epizy.com
    Downloads: 0 This Week
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  • 10
    Lucid

    Lucid

    A collection of infrastructure and tools for research

    Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs...
    Downloads: 2 This Week
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  • 11
    BudgetML

    BudgetML

    Deploy a ML inference service on a budget in 10 lines of code

    Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn...
    Downloads: 0 This Week
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