Given an input image, this model will generate a mask that describes the category for each pixel. For training new models on your own datasets, the algorithm is also available as built-in SageMaker algorithm: https://docs.aws.amazon.com/sagemaker/latest/dg/semantic-segmentation.html
Model Package - Fulfilled on Amazon SageMaker
This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the fastest models that also provide high accuracy. It also provides high-quality features as...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/google/bigbird-pegasus-large-pubmed). The deployed model can be used for running inference on any English input text.
Model Package - Fulfilled on Amazon SageMaker
Detect and prevent fraud before it happens with this collection of models using transactional history, payments and non-monetary activity. Using additional data sources, advanced modeling techniques, and decades of combined fraud experience, we give credit issuers more 'lead time' to take...
Model Package - Fulfilled on Amazon SageMaker
Nomic Embed is the only truly open (open source, weights, and data) text embedder to beat OpenAI on both short and long context tasks.
Model Package - Fulfilled on Amazon SageMaker
Significant time is spent by auto insurance adjusters to appraise vehicle loss and estimate the final settlement amount. Large volume of minor loss claims consume significant bandwidth of adjusters. A machine learning model can reduce this amount by inspecting and identifying type of damage after...
Model Package - Fulfilled on Amazon SageMaker
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Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This...
Model Package - Fulfilled on Amazon SageMaker
ESM3 is a frontier generative AI model for biology. It simultaneously reasons over the fundamental properties of a protein: sequence, structure, and function. ESM3 can be interactively prompted with combinations of its tracks. ESM3 allows scientists to read, imagine, and create proteins.
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_resnet/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes....
Model Package - Fulfilled on Amazon SageMaker
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This algorithm performs time series anomaly detection with a Long Short-Term Memory Network Autoencoder (LSTM-AE). It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker images were built by extending the PyTorch 2.1.0...
Algorithm - Fulfilled on Amazon SageMaker
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