Mohammed Ehsan Ur Rahman 's repositories
A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.
COMP-8610-RESK-RL-Research-Project
COMP-8610 RESK RL Research Project
UNet-and-Hybrid-UNet-for-Semantic-Segmentation
UNet and Hybrid UNet for Semantic Segmentation on CityScapes dataset with dice score as metric
COMP-8730-Assign02-rahman6a
Spell Correction using N-gram Language Models
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
EhsanMohd
Config files for my GitHub profile.
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
Research-Papers-
Holds the research papers I have authored and co-authored