Accurately predict various scenarios for regulatory and internal consumption with CCAR (Comprehensive Capital Analysis and Review), such as: predicting deposits and acquisitions, balance change, personal loans, etc. Forecast future overpayments by vintage and tenor in different economic scenarios....
Model Package - Fulfilled on Amazon SageMaker
Free Trial
Mask Detector - is a real-time computer vision model for detecting the absence of masks or respirators on people. The solution is a tool for ensuring epidemiological safety in laboratories, healthcare facilities, schools and universities, industrial companies, government, military facilities, etc....
Model Package - Fulfilled on Amazon SageMaker
Increase APR interest rates for certain customers to reduce risk while not affecting customer satisfaction with this sensitivity-based segmentation model. This model supports customized pricing offers to attract customers while preventing potential future risk from higher risk card holders. Risky...
Model Package - Fulfilled on Amazon SageMaker
VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of various natural language processing-based AI services such as text generation, question answering, chatbots, summarization, and information extraction. NCSOFT's VARCO LLM 2.0 was developed with our own...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_800x1333/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
This algorithm performs time series clustering with an unsupervised convolutional neural network trained using contrastive learning followed by a K-Means clusterer. It implements both training and inference from CSV data and supports both CPU and GPU instances. The training and inference Docker...
Algorithm - Fulfilled on Amazon SageMaker
This is a Machine Translation model built upon a Transformer model from [Hugging Face](https://huggingface.co/t5-base). It takes a text string as input and predicts its translation.
Model Package - Fulfilled on Amazon SageMaker
Scanned documents can have flipped pages that can create challenges while processing of documents using OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify document flip and correct the alignment of pages. It incorporates deep...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
To help identify skin mutations to support clinical decisions and diagnosis. Non-melanoma skin cancers, such as Basal Cell Carcinomas (BCC) and Squamous Cell Carcinomas (SCC), are the most common human skin cancers and they are growing fast. By inputting an image (.jpg, .png, or .bmp), the model...
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
showing 1011 - 1020