Nick Kunz's Projects
Bypass Paywalls for Firefox
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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Data Collection Prototype | Columbia GSAPP
Conditional Random Sampling Sparse Matrices
Curriculum Vitae
Design optimization tool built for Rhino Grasshopper
A python library for decision tree visualization and model interpretation.
Interactive Data Visualization | Columbia GSAPP
An open source python library for automated feature engineering
Computational framework for reinforcement learning in traffic control
HiClimR: Hierarchical Climate Regionalization
Distributed Asynchronous Hyperparameter Optimization in Python
GRD-TRT-BUF-4I: Ground Truth Buffer for Idling
Generative Drawing | Columbia GSAPP
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Nested Cross-Validation for Bayesian Optimized Linear Regularization
NIAID DIR Laboratory Descriptions Data Set
Personal Website | Nick Kunz
Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).
Interactive Particle Simulator Visualization | Traer Physics Library
Proximal Policy Optimization Utilizing Pseudo-Huber Loss
Applied DBSCAN | Columbia GSAPP
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Linear Regularization | Columbia Business School
Interactive Line Drawing | Columbia GSAPP
Synthetic Minority Over-Sampling Technique for Regression
Computational design toolkit from Spatial Pixel.
Applied Spatially Constrained Multivariate Clustering