Name: Jacob Feitelberg
Type: User
Company: Columbia University
Bio: Ph.D. student in Operations Research at Columbia University. Interests include optimization, control, machine learning, and causal inference.
Location: New York
Blog: jacobf18.github.io
Jacob Feitelberg's Projects
Active semi-supervised clustering algorithms for scikit-learn with sample weights
Collection of algorithms to create matchings between astronomical catalogs.
A Python implementation of COP-KMEANS algorithm
Simple credit card validator in C++ using Luhn's Algorithm.
Latex CV
Distributional Nearest Neighbors for distributional table completion.
Distributed database system utilizing homomorphic encryption to enable decentralized untrusted relational database hosting.
JHU BME Design Team 2
This is a collection of python scripts to scrape financial data.
A robot powered training repository :robot:
Dataset for training EEG IC classifiers.
Config files for my GitHub profile.
Automatic labeling of ICA components in Python.
This is an addition to the Euler Method to work for non-one-to-one differential equations.
This repository is a collection of tools to help researchers with Neural Architecture Search.
Python Framework to make trades with Robinhood Private API