deeplearning

A project to develop a non-invasive, AI-powered system for detecting lung cancer associated with combustion particles and fine particulate matter (PM2.5).

Diffusion models are based on the diffusion equation, which describes how substances spread through space and time. While the underlying principle is based on the diffusion equation, the specific equation used in text-to-image models often involves a combination of: Gaussian noise addition, Neural network architecture

Modular Energy System Environment, forked from MUSE OS.

In this project, we will be exploring the hotel reviews and the rating base on customer hotel experience. We will be also looking at feature engineering and designing a deep learning model to predict ratings based on reviews.

A central repository where past submissions to a variety of data science competitions step from. The goal is to share a common framework (for reporting, organization, debugging etc).

Performance Comparison of S-O-T-A, Transformer Based Language Models, like BERT & XLNet in Legal domain. Studying impacts of additional (domain-specific) pre-training on BERT in Legal domain. Exploring impacts of Introducing Legal Vocabulary in BERT.

Deep learning library for C/C++

A deep-learning tool in development.

Python API for the libdeep deep learning library

Image Classification using Deep Convolutional Neural Networks