At Lelapa AI, we're dedicated to advancing language technology and expanding its accessibility through our specialized Automatic Speech Recognition (ASR) Model for Zulu and Sesotho languages. This innovative model is tailored to effectively transcribe and interpret spoken language, supporting a...
Model Package - Fulfilled on Amazon SageMaker
Providing the foundation of lifecycle credit risk strategy, this model combines strategies to enable automated underwriting differentiating low (0%) to high (40%) risk. Using customer demographic data, credit history and payment behavior, lifecycle scorecard insights are produced. The Application...
Model Package - Fulfilled on Amazon SageMaker
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...
Model Package - Fulfilled on Amazon SageMaker
This propensity model helps collection companies find the RPC (Right Party Contact) phone number and best call time to reach the delinquent customer. Identify early, mid and late stage risk and the probability of receiving payment. Early and late stage segmentation strategies provide an end-to-end...
Model Package - Fulfilled on Amazon SageMaker
Among Generative AI's most compelling applications is the generation of synthetic data, a process critical to overcoming the challenges of data privacy, scarcity, and imbalance. Central to this endeavor is SynthStudio, a sophisticated generative model designed to produce high-quality synthetic...
Algorithm - Fulfilled on Amazon SageMaker
Trailer Capacity Prediction model takes images of open containers being loaded/unloaded as input and classifies them into categories - quarter, half or fully packed. It can be used to plan container loading/unloading and optimize/automate warehouse operations which in turn reduces truck waiting...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Watches MLB. Lift over Random 1.68. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media Behaviors &...
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
This solution creates a knowledge graph based on entity-name pairs from data collected from multiple sources of information such as Wikipedia, company's website, CrunchBase etc. This solution creates a graph model of a company's profile based on unstructured data.
Model Package - Fulfilled on Amazon SageMaker
Text region detector automatically detects the presence of text in natural scene images. Detecting text in constrained, controlled environments can typically be accomplished by using heuristic-based approaches. Natural scene text detection is different — and much more challenging. This model...
Model Package - Fulfilled on Amazon SageMaker
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