Showing 3 open source projects for "python code editor"

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  • Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK. Icon
    Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK.

    With Ditto Edge Server, you can join devices as small as a Raspberry Pi to a local mesh network and synchronize data across edge environments.

    Ditto's Edge SDK is the only thing your edge devices need to ensure your application is operational in any environment, regardless of network conditions.
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  • Silverware is an enterprise-grade hospitality platform built for hotels, resorts, and complex multi-venue operations. Icon
    Silverware is an enterprise-grade hospitality platform built for hotels, resorts, and complex multi-venue operations.

    Silverware powers high-end hospitality environments

    Silverware is built for hotel, resort, and multi-venue hospitality operators who need enterprise-grade control, deep integrations, and always-on reliability to run complex operations at scale.
    Learn More
  • 1
    imodelsX

    imodelsX

    Interpretable prompting and models for NLP

    Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better...
    Downloads: 0 This Week
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  • 2
    CTranslate2

    CTranslate2

    Fast inference engine for Transformer models

    CTranslate2 is a C++ and Python library for efficient inference with Transformer models. The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many...
    Downloads: 9 This Week
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  • 3
    Neuro-comma

    Neuro-comma

    Punctuation restoration production-ready model for Russian language

    ...The Library doesn't use any high-level frameworks, such as PyTorch-lightning or Keras, to reduce the level entry threshold. Feel free to fork this repo and edit model or dataset classes for your purposes. Our team always uses the latest version and features of Python. We started with Python 3.9, but realized, that there is no FastAPI image for Python 3.9. There is several PRs in image repositories, but no response from maintainers. So we decided to change code which we use in production to work with the 3.8 version of Python. In some functions we have 3.9 code, but we still use them, these functions are needed only for development purposes.
    Downloads: 0 This Week
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