Showing 7 open source projects for "testing"

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  • 1
    Langflow

    Langflow

    Low-code app builder for RAG and multi-agent AI applications

    Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
    Downloads: 13 This Week
    Last Update:
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  • 2
    Coframe

    Coframe

    Coframe brings your UX to life with AI-powered optimization

    ...It takes minutes to integrate, and the ROI is clear to measure. Your website or app gains self-enhancing abilities with Coframe, learning from real-world performance. It's A/B testing, but with a serious upgrade. Coframe uses the latest in AI to generate copy that is tailored to your users. Resulting performance data is fed back in to continuously improve your platform's content. With Coframe, your website or app works for you 24/7, not the other way around. All it takes to get up and running is a few lines of code. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Diffusion WebUI Colab

    Diffusion WebUI Colab

    Choose your diffusion models and spin up a WebUI on Colab in one click

    The most simplistic Colab with most models included by default. Custom models can be added easily. Stable Diffusion 2.0 in testing phase. Choose your diffusion models and spin up a WebUI on Colab in one click. Share your generations in our mastodon server - (This is hosted by a third party. I am not associated with the instance in any way.) The instructions are on the Colab.
    Downloads: 0 This Week
    Last Update:
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  • 4
    GPT Neo

    GPT Neo

    An implementation of model parallel GPT-2 and GPT-3-style models

    ...Some results for GPT-2 and GPT-3 are inconsistent with the values reported in the respective papers. We are currently looking into why, and would greatly appreciate feedback and further testing of our eval harness.
    Downloads: 1 This Week
    Last Update:
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  • 5
    CRSLab

    CRSLab

    CRSLab is an open-source toolkit

    ...We have preprocessed these datasets to support these models, and release for downloading. Extensive and standard evaluation protocols: We support a series of widely-adopted evaluation protocols for testing and comparing different CRS. General and extensible structure: We design a general and extensible structure to unify various conversational recommendation datasets and models, in which we integrate various built-in interfaces and functions for quickly development. Easy to get started: We provide simple yet flexible configuration for new researchers to quickly start in our library. ...
    Downloads: 0 This Week
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  • 6
    A Netflix film cover generator Nuxt.js

    A Netflix film cover generator Nuxt.js

    A tool for generating Netflix show image

    We love Netflix, but we love memes even more. We thought that helping Netflix on their UI/UX testing with a tool that can create show images easily with an export function to png. A tool for generating Netflix shows an image. You can visit the demo website hosted on Netlify. This is an open-source tool and it is available on Github. On this tool you have a full editable canvas where you can edit content, text position, text dimension, gradient position and change the background image. ...
    Downloads: 0 This Week
    Last Update:
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  • 7
    TGAN

    TGAN

    Generative adversarial training for generating synthetic tabular data

    ...Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. For development, you can use make install-develop instead in order to install all the required dependencies for testing and code listing. In order to be able to sample new synthetic data, TGAN first needs to be fitted to existing data.
    Downloads: 0 This Week
    Last Update:
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