There are 1 repository under manhattan topic.
An interactive 3D visualization of the all the buildings in Manhattan.
Distance/Similarity functions for Bag of Words, Strings, Vectors and more.
A collection of scripts to run GWAS, regional, gene-oriented, or per-variant analyses.
A web-based GUI tool to showcase SLD and Manhattan Metrics (P5 JS)
Fast manhattenplots using ggplot2
An analysis of StreetEasy rental listings
Some basic data and text extraction from the New York City Directories
:statue_of_liberty: Materialy designed database app
An implementation of the A* search algorithm to solve the 8-puzzle problem, with two different heuristics.
A restaurant recommendation platform for Flatiron students
Compute the sum of absolute values (L1 norm).
Compute the sum of absolute values (L1 norm).
Compute the sum of absolute values (L1 norm).
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
redone scratch game
Final project on income inequality in New York City in 2016 for my Spring 2018 Data Bootcamp class.
Path finding visualisation using javascript
Acquisition and Analysis of Robotic Environment Data Using Machine Learning Techniques
Performance Comparison of two different distance metrics in K - Nearest Neighbors
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring NaN values.
Calculate the sum of absolute values (L1 norm) of strided array elements using pairwise summation.
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
The website for Tallgrass Community Church in Manhattan, Kansas.
A Unimodal Neural Network-Based Person Authentication System Based on the Sound of the Signing
Manhattan crime data visualization dashboard made with D3
:1234: N-Puzzle solver built up on A* (with modifications), Greedy and Uniform Cost search algorithms. Available Heuristics are one of Manhattan, Hamming and Euclidean
Using Data Science and Machine Learning techniques to know the Neighbourhoods of Manhattan City whose location is retrieved using FourSquare API.
Simple Recommendation engine which uses Manhattan, Euclidean, Minkowski distances and for Unit Tests Jasmine is used.
Improving L Train Service - in collaboration with Keri Mallari and Robert Hintze