Name: Prahlad G Menon, PhD, PMP
Type: User
Bio: AI / Data Scientist & Professor with real-world experience in predictive maintenance, financial modeling, healthcare data analytics & medical image diagnostics.
Location: Pittsburgh, PA
Prahlad G Menon, PhD, PMP's Projects
Minimal keyword extraction with BERT
Fully automated machine learning in one-liners.
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
LLaVA server (llama.cpp).
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM Finetuning with peft
A collection of infrastructure and tools for research in neural network interpretability.
Generate "Magic Eye" images in the browser
Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
Few-Shot Graph Learning for Molecular Property Prediction
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
Website for the MIMIC Critical Care Database (currently version MIMIC-III)
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
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.
12 weeks, 24 lessons, classic Machine Learning for all
Python implementation of mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.
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.
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
SQL/Python on Jupyter NBs - 101
This is a research paper outlining the benefits of the Neo4j graph database in the retail industry.
This repo contains the example code used in my Medium article about NeuralProphet.
Natural Language Processing Best Practices & Examples
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
OpenAI's Code Interpreter in your terminal, running locally
Topic Modeling on Patent Data to Predict Tech Trends
Phase field simulation in OpenFOAM
🐦 Quickly annotate data from the comfort of your Jupyter notebook