Arindam Paul's repositories
adaptive_weight_timeseries
Adaptive weighing scheme - clone of zip (elizabeth Fons)
ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
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