Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
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Updated
Sep 2, 2023
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
Columbia Image and Face Search tool for MEMEX
Python interface for CPT
Tutorial and framework code for deep learning in biomedical applications with PyTorch and (if necessary) Google Cloud Platform.
Python code for finding Max Flow in a directed graph.
Columbia University
Columbia University IT developer training on using Django, REST and {json:api}
Using 311 NYC Open Data to analyze what New Yorkers complain about.
Mono-repository for MATE ROV development.
Course repository for Columbia University's EEEB UN3005/GR5005 (spring 2020)
Child repository of Deep-learning-with-PyTorch-and-GCP
This repository includes the projects of the CSMM101X - Artificial Intelligence course offered by Columbia University.
A workshop about web scraping I gave at Columbia University during the 2019 Fall semester
This repository includes the projects of the CSMM102X - Machine Learning course offered by Columbia University.
Child repository of Deep-learning-with-PyTorch-and-GCP
Are you you? 🔎 ML model in Python to determine if it is me who is using my computer
This code is used for the purposes of COMS 4156 - Advanced Software Engineering course at Columbia University. This is a boilerplate python flask code with configurations for Circle CI and google cloud.
Research into the viability of leveraging deep learning to successfully generate synthetic biological samples and identify predictive genetic variants.
This repository is a sample of the work done as a Research Assistant in Behavioral Economics at Columbia University.
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