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
Columbia University
Tutorial and framework code for deep learning in biomedical applications with PyTorch and (if necessary) Google Cloud Platform.
Columbia University IT developer training on using Django, REST and {json:api}
Are you you? 🔎 ML model in Python to determine if it is me who is using my computer
Python code for finding Max Flow in a directed graph.
Mono-repository for MATE ROV development.
Python interface for CPT
Child repository of Deep-learning-with-PyTorch-and-GCP
Using 311 NYC Open Data to analyze what New Yorkers complain about.
Child repository of Deep-learning-with-PyTorch-and-GCP
Child repository of Deep-learning-with-PyTorch-and-GCP
Project in which I analyze if the Ruby Hashing algorithm could be improved using Tabulation Hashing
Repository for autonomous car development.
This repository includes the projects of the CSMM101X - Artificial Intelligence course offered by Columbia University.
This repository includes the projects of the CSMM102X - Machine Learning course offered by Columbia University.
This repository includes the projects of the CSMM103X - Robotics course offered by Columbia University.
Course repository for Columbia University's EEEB UN3005/GR5005 (spring 2019)
A workshop about web scraping I gave at Columbia University during the 2019 Fall semester
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