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Machine Learning (1082 results) showing 931 - 940



This solution identifies the various aspects and their corresponding sentiment from online product reviews for laptops. The following 8 aspects are identified: price, display quality, sound quality, battery life, processor & memory, hardware - keyboard and mouse, software and, other and the 3...

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jina-colbert-v1-en is an open-source English ColBERT-style embedding model supporting 8192 sequence length. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late...

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This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/inception_v2/classification/4). 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...

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Scanned documents sometimes can have pages with wrong alignment. This can create challenges while processing of documents viz. OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify angle of tilt based on textual orientation,...

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This is a Machine Translation model built upon a Transformer model from [Hugging Face](https://huggingface.co/t5-large). It takes a text string as input and predicts its translation.

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...

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This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/electra_small/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 second...

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This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_densenet/). 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....

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

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A part of Wipro HOLMES™ E-KYC product, Financials Extractor helps you to identify financial Information (Assets, Revenue, Currency, Date, Consolidated Assets, etc.) of an organization using the annual report of the organization. Currently annual reports of only PDF format are supported. Currently...

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