With DupliPy, you can format, augment and standardize your NLP data in seconds, allowing you to focus on what matters most. DupliPy can also be used for data similarity calculation, BLEU score calculation and sentiment analysis.
DupliPy is our own open-source NLP data formatting, augmenting and analysis library for Python.
DupliPy is very easy to use and install, just run: !pip install duplipy
and you're good
to go.
DupliPy also has the feature to quickly calculate the BLEU score, just pass in your model's output, and the target, and DupliPy will do the rest.
Find and analyze semantics in your data, helping you to better filter and scan data for NSFW content and bias.
DupliPy allows you to quickly augment entire files-worth of data, in one method.
DupliPy allows you to quickly format, standardize and even lemmatize your text data, without much hassle.
New
DupliPy now has support for common image augmentation tasks for image data, including rotating, cropping, scaling and even more diverse action like random rotation.
DupliPy allows for lightning-fast data preprocessing and augmentation that works right out of the box. Get started using DupliPy for data preprocessing, augmentation and analysis.
At Infinitode, we prioritize rigorous testing and quality-assurance measures to ensure optimal performance of our AI models before their release. In the case of our language models, our focus lies in two critical aspects:
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assets for creative people.
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See what data we're working with. Download or view the public datasets we use to train our models.
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