NYU Deep Learning Spring 2021

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Distributed LMS for automating Computing Science Courses From NYU

📖 NYU 金融机器学习 中文笔记

Yacs - The Scheduler for Everyone

Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.

Analysis pipelines for genomic sequencing data

Syllabus for ITP Foundation Course Introduction to Computational Media, Fall 2018

ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image - ICCV 2019

API for NYU's course catalog

A standalone version of Urban Pulse

Fast style transfer with facial preservation. Final project for CSCI-GA.2271: Computer Vision (Fall 2018) at New York University.

Teaching as Art. A class at NYU ITP on pedagogy and social practice art.

👨‍🎤detune: A TrueDepth Music Experience for iOS --> ARKit, ARFaceAnchor Boilerplate

Accumulated shadow data computed for New York City

Deep Learning Course instructed by Yann LeCun and Alfredo Canziani

Programming in Python & Fundamentals of Software Development - Summer 2019

NYU Prince set up

SuperGAN aims to develope subject agnostic real-time Face Swaping.

Experiments on cluttered mnist dataset with Tensorflow.