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The Clinical De-Identification model is designed to recognize and anonymize PHI in English-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
Starting from $0.10/hr or from $870.00/yr (1% savings) for software + AWS usage fees
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. spaCy is designed specifically for production use and helps you...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Autocode Text To Golang Code Recommender takes a code related user text query as input and returns 3 optimal code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
The Clinical De-Identification model is designed to recognize and anonymize PHI in Spanish-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/distilbert-base-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...
Model Package - Fulfilled on Amazon SageMaker
Starting from $0.10 to $0.10/hr for software + AWS usage fees
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. Fast.ai is a popular open-source library for deep learning, especially for natural language processing (NLP) tasks. It is known for its ease of use and its ability...
Linux/Unix, Debian 12 - 64-bit Amazon Machine Image (AMI)
Contact Lens for Amazon Connect, a feature of Amazon Connect, helps you follow the sentiment and trends of customer conversations in real time to identify crucial company and product feedback. You can also track the agent compliance of customer conversations in your contact center to ensure...
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Embedding models are neural networks that convert documents into numerical vectors. They are a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG). voyage-multilingual-2 is optimized for multilingual retrieval and RAG. It demonstrates superior...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/wiki_books/1). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the...
Model Package - Fulfilled on Amazon SageMaker
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