paularindam Goto Github PK

adaptive_weight_timeseries

Adaptive weighing scheme - clone of zip (elizabeth Fons)

chemixnet

Mixed DNN Architectures for Predicting Properties using Multiple Molecular Representations

elemnet

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

facebookconfessions

jekyll_modern-blog

A Modern, Clean, Jekyll Blog Layout based from codedrops

mdgan

Microstructural Materials Design Via Deep Adversarial Learning Methodology

microstructure-optimization-ml

Microstructure optimization of constrained design objectives using machine learning based feedback aware data generation

microstructure-optimization-sampling

Data Sampling Schemes for Galfenol Microstructure Optimization

ml-iter-additive

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

offensivetweetdetection

ipython notebooks for detecting offensive tweets

opv_extratrees

Machine Learning Framework for Estimating Efficiency of Organic Solar Cells using Extreme Random Forests

opvpredictor

Predictor for Highest Occupied Molecular Orbital (HOMO) Energy for Organic Photovoltaic Donor Molecules

paularindam.github.io

This is a personal website for Dr. Arindam Paul. Arindam is a Machine Learning Scientist at American Family Insurance. He got his PhD in Computer Science (Applied machine learning) at Northwestern University.

pinternet

Material Design inspired Jekyll Theme

profanity

A Python library to check for (and clean) profanity in strings.

sinet

A Transfer Learning Framework for Organic Solar Cell Prediction using Multi Input Single Output Neural Networks

text_classification

all kinds of text classificaiton models and more with deep learning

textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification