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Prahlad G Menon, PhD, PMP's Projects

keybert icon keybert

Minimal keyword extraction with BERT

libra icon libra

Fully automated machine learning in one-liners.

lightning-flash icon lightning-flash

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lucid icon lucid

A collection of infrastructure and tools for research in neural network interpretability.

mamba-chat icon mamba-chat

Mamba-Chat: A chat LLM based on the state-space model architecture 🐍

meta-mgnn icon meta-mgnn

Few-Shot Graph Learning for Molecular Property Prediction

mideepseg icon mideepseg

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic-website icon mimic-website

Website for the MIMIC Critical Care Database (currently version MIMIC-III)

mimic_extract icon mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

ml-flow icon ml-flow

MLFlow is the generalized package which is developed using the python and the H2o framework. The purpose of this function is to store the models meta data for both classification and regression model.

mrmr icon mrmr

Python implementation of mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.

multiface_facemaskdetector icon multiface_facemaskdetector

Detect mask v/s no-mask on faces in an image using a combination of a openCV based face detector DNN and a trained keras model for mask detection. Model and Google Colab ipynb included.

neo4j-for-retail icon neo4j-for-retail

This is a research paper outlining the benefits of the Neo4j graph database in the retail industry.

nlp-recipes icon nlp-recipes

Natural Language Processing Best Practices & Examples

nucleisegmentation icon nucleisegmentation

The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.

pigeon icon pigeon

🐦 Quickly annotate data from the comfort of your Jupyter notebook

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