Showing 8 open source projects for "postgres-xl"

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  • 1
    Fooocus

    Fooocus

    Focus on prompting and generating

    Fooocus is an open-source image generation software that simplifies the process of creating images from text prompts. Built on Gradio and leveraging Stable Diffusion XL, Fooocus eliminates the need for manual parameter tweaking, allowing users to focus solely on crafting prompts. It offers a user-friendly interface with minimal setup, making advanced image synthesis accessible to a broader audience.
    Downloads: 270 This Week
    Last Update:
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  • 2
    supabase-py

    supabase-py

    Python Client for Supabase. Query Postgres from Flask, Django

    Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
    Downloads: 2 This Week
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  • 3
    AnimateDiff

    AnimateDiff

    Plug-n-play module turning text-to-image models into animation

    AnimateDiff is an open-source project designed to enhance text-to-image diffusion models by adding animation capabilities. It allows users to turn static images generated by popular text-to-image models into animated sequences without requiring additional model training. This plug-and-play tool is compatible with a wide range of community models and facilitates the generation of animation directly from pre-existing text-to-image models. It supports various configurations to create animations...
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    Downloads: 32 This Week
    Last Update:
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  • 4
    django-telegram-bot

    django-telegram-bot

    My sexy Django + python-telegram-bot + Celery + Redis + Postgres

    Sexy Django + python-telegram-bot + Celery + Redis + Postgres + Dokku + GitHub Actions template. Production-ready Telegram bot with database, admin panel and a bunch of useful built-in methods.
    Downloads: 0 This Week
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    Resco toolkit for building mobile apps

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  • 5
    StudioGAN

    StudioGAN

    StudioGAN is a Pytorch library providing implementations of networks

    ...StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT, RQ-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives. ...
    Downloads: 0 This Week
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  • 6
    ruDALL-E

    ruDALL-E

    Generate images from texts. In Russian

    ...This neural network has been developed and trained by Sber AI researchers in close collaboration with scientists from Artificial Intelligence Research Institute using joined datasets by Sber AI and SberDevices. Russian text-to-image model that generates images from text. The architecture is the same as ruDALL-E XL. Even more parameters in the new version.
    Downloads: 0 This Week
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  • 7
    Deep learning time series forecasting

    Deep learning time series forecasting

    Deep learning PyTorch library for time series forecasting

    Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series...
    Downloads: 0 This Week
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  • 8
    hebrew-gpt_neo

    hebrew-gpt_neo

    Hebrew text generation models based on EleutherAI's gpt-neo

    Hebrew text generation models based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made available to me via the TPU Research Cloud Program. The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.
    Downloads: 0 This Week
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