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trajlib

Trajectory Mining Library for Python

trajnetplusplusbaselines

Baselines for TrajNet++

transport-network-analysis

Generate a graph from GPS location data and identify bus stops and signals based on the data

trilateration-algorithms

Iterative and non-iterative trilateration algorithms for localization schemes.

tripwalk

Random walk generation on RDF graph

tsfresh

Automatic extraction of relevant features from time series:

twooutput3dresnet

3D ResNets for Action Recognition (CVPR 2018)

u_net_geo

This is the implementation for the U-net architecture for Geo-Images. Its objective is to segment the roof tops from the given image.

uav_coverage

Simulation for planar area coverage by a swarm of UAVs

uber-mdp-analytics

Using NYC taxi data to create an MDP model, and then solving for optimal driving policy using Value Iteration

uber_analysis

In this notebook we will analyze " My Uber Rides 2016 dataset" and try to find the hidden relationships among Time( Date), Miles , Purpose , start location, end location, and categories.

uber_lyft_scraping

These scripts I wrote can be used to scrape pricing and ride information from the Uber and Lyft APIs.

uci_classification

UCI classification datasets loading utilities.

udacity_mlnd_smartcab

Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.

udacitycpp

Udacity C++ Nanodegree Program

ukd_cvpr2020

The source code for the CVPR2020 paper "Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing".

uml_nlp_class_2020

NLP Class at UMass Lowell, Spring 2020

umlthesis

LaTeX Thesis Template for UMass Lowell

uncertainty-mnist-with-pytorch

Uncertainty estimation on Mnist dataset

uncertainty_edl_graph

Anomaly detction in maritime navigation with evidential deep learning based on graph-based clustering

unified_deep_clustering

This is the official implementation of the paper "Learning the Precise Feature for Cluster Assignment" published in IEEE Transactions on Cybernetics.

unscented_kalman_filter

Unscented Kalman filtering in Python and C++ for tracking and localization applications

unscentedsampler

Pytorch class implementing Unscented sigma point sampling to improve estimation of nonlinear dynamics. Given a nonlinear transition model, this class uses sigma point sampling to maintain an improved estimate of uncertainty propagated through the nonlinear dynamics.

urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.

urbanfm

Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19

useful-code-blocks

varia

Variational autoencoder for playing in the latent space

varun1.github.io

vast-challenge-2014

VAST Challenge 2014 - Crime case Analysis

vast-challenge-2015