Showing 5 open source projects for "dataset"

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    PaddleNLP

    PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo

    PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow And process-wide text area API: Support for the loading of rich Chinese data sets Dataset API, can flexibly and efficiently complete data pretreatment Data API, Preset 60 + pre-training word vector Embedding API, Providing 100 + pre-training model Transformer API Wait, the efficiency of NLP task modeling can be greatly improved.
    Downloads: 0 This Week
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  • 2
    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI swift async text to image for SwiftUI app using OpenAI

    ...In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space.
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  • 3

    Image Augment Generator

    Dataset Image Augmentation Generator is a desktop application

    Dataset Image Augmentation Generator is a desktop application that creates multiple variations of images to expand machine learning datasets. Users select a folder of images, choose from 30 augmentation techniques, and the tool generates new images with one click, then packages them into a downloadable ZIP file. Key Feature: 30 Augmentation Techniques 1.
    Downloads: 0 This Week
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  • 4
    DALL-E in Pytorch

    DALL-E in Pytorch

    Implementation / replication of DALL-E, OpenAI's Text to Image

    Implementation / replication of DALL-E (paper), OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the generations. Kobiso, a research engineer from Naver, has trained on the CUB200 dataset here, using full and deepspeed sparse attention. You can also skip the training of the VAE altogether, using the pretrained model released by OpenAI! The wrapper class should take care of downloading and caching the model for you auto-magically. You can also use the pretrained VAE offered by the authors of Taming Transformers! Currently only the VAE with a codebook size of 1024 is offered, with the hope that it may train a little faster than OpenAI's, which has a size of 8192. ...
    Downloads: 0 This Week
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  • 5
    SneakGAN

    SneakGAN

    StyleGAN2-ADA trained on a dataset of 2000+ sneaker images

    StyleGAN2-ADA trained on a dataset of 2000+ sneaker images. This model was inspired by 98mprice's StyleGAN model and uses the same training data.
    Downloads: 1 This Week
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