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codingchallenge

BankruptcyWatch Coding Challenge

cribbagecs5180projectpravin

cs7150-homework-2

diffusion-network

This approach refines low-resolution images (CIFAR-10) using diffusion networks. It iteratively improves image representations, capturing details despite limited pixels. Even with lower resolution, object recognition and classification are enhanced, demonstrating diffusion networks' ability to handle diverse image quality.

fontclassification

The task for this is to create a Font Classifier. The classifier should take a single image as input and return the name (or label) of the font used in the image from a predefined list of 10 fonts.

objectdetectionautomotivedomain

so-ismcts

cribbage

stockprediction

To use Machine learning models to make stock market predictions of an unstable stock like bitcoin.

summarization

We discuss the importance of scientific summarization and simplification in natural language processing (NLP) and the challenges associated with it. It highlights the potential of fine-tuning pretrained language models such as BART and Google-Pegasus on scientific texts for this task.