This solution uses an unsupervised learning method that solves problem of Bias in unstructured data (Text Corpus). It identifies and reduces the bias present in the word embeddings. The user can target a specific bias (Gender, Age, Race etc.) to be identified and mitigated, without loss in semantic...
Algorithm - Fulfilled on Amazon SageMaker
A recommender model that learns a matrix factorization embedding based off minimizing the pairwise ranking loss described in the paper.
Algorithm - Fulfilled on Amazon SageMaker
This Solution suggests optimal allocation of marketing budget across channels like print media, social media, radio, television, etc. based on their past performance using bayesian based market budget allocation method. Alongside, the solution accounts for the effect of non-marketing attributes-...
Algorithm - Fulfilled on Amazon SageMaker
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...
Model Package - Fulfilled on Amazon SageMaker
This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...
Algorithm - Fulfilled on Amazon SageMaker
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Motion is the number one cause for injuries in the workplace as well as the structural driver for athletic activities. Modjoul Motion model identifies 4 major activities and corresponding metrics. This model detects not only walking but also bends, twists and stationary activity. It accepts input...
Model Package - Fulfilled on Amazon SageMaker
Machine Learning model performance degrades over time and the drift associated with data is one of the main reasons for the gradual drop in model accuracy. Drift Detection in Categorical variables aids in finding the extent of drift observed in data with respect to a reference dataset. The solution...
Model Package - Fulfilled on Amazon SageMaker
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...
Model Package - Fulfilled on Amazon SageMaker
This model, "Mistral-7B-Retail-Banking-v1," is a fine-tuned version of the mistralai/Mistral-7B-Instruct-v0.2, specifically tailored for the retail banking domain. It is optimized to answer questions and assist users with various banking transactions. Intended Use Recommended applications: This...
Model Package - Fulfilled on Amazon SageMaker
Legal entity ownership extraction is an NLP solution that helps identify and classify legal parent and subsidiary organization names in an unstructured text. The solution takes a text file as input. The text can be sourced from documents such as financial statements and legal documents. The...
Model Package - Fulfilled on Amazon SageMaker
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