Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method

Core Intro Javascript course. Material based on original material by Sara Chipps, Pamela Fox, Alexis Goldstein, Izzy Johnston and Leo Newball.

Two-dimensional phase unwrapping using the Goldstein branch cut method

Collection of SQL queries for use with Sierra ILS. Created and maintained by Jeremy Goldstein for test purposes only. Use at your own risk. Not supported by the Minuteman Library Network.

ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein and Furong Huang

Modified Goldstein filter for InSAR noise reduction based on Coefficient Variation

JavaScript with no limits 🤫

Python and PySpark implementation of Goldstein et al.'s Scalelink method of data linkage.

Collection of misc. print templates created in Jaspersoft Studio for use with Sierra ILS. Repo primarily contains Due slip, hold slip and paging list templates, Spine label templates can be found in a separate repo. Created and maintained by Jeremy Goldstein for test purposes only. Use at your own risk. Not supported by the Minuteman Library Network.

A Python implementation of Goldstein et. al's FASTA algorithm for convex optimization.

A couple VFX Assets you can play around with for Lens Studio! Made for my talk with Sallia Goldstein at the AR conference Lens Fest (2021)

Line Search Guidelines Optimization Python Implementation. Armijo, GoldStein and Wolfe Guidelines included.

This code generate the simulation results in our NeurIPS 2022 paper titled "Global Convergence of Direct Policy Search for State-Feedback H∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential"

Software and data used in Tamuri AU, dos Reis M, Hay AJ, Goldstein RA (2009) Identifying Changes in Selective Constraints: Host Shifts in Influenza. PLoS Comput Biol 5(11): e1000564 doi:10.1371/journal.pcbi.1000564

L1 penalized EM algorithm for a modulated Hawkes process. Utilizes Tom Goldstein's FASTA matlab code (see https://www.cs.umd.edu/~tomg/projects/fasta/). Run run_estimation_synth.m to run parameter estimation example.

Maya Goldstein | Samantha Ramos | Lin Lassiter | General Assembly WDIr-Gizmo

Bat optimization algorithm with ackley, beale, goldstein price, and levy functions

Beale, Ackley, Goldstein, Levi Test Fonksiyonları İle Guguk Kuşu Algoritması ve Benzetimli Tavlama Algoritması Optimizasyonu

This repository USED to contain the files of the proof of concept for the Goldstein Museum of Design Photogrammetry VR. After that project was canceled due to financial difficulties we decided to open source the files.

newton,quasi-newton,DFP,BFGS,accurate_line_search,Cholesky_decomposition,FR_conjugate_gradient_method,Wolfe,BB_method,armijo,gradient_descent,Goldstein

A binary genetic algorithm using two-point crossover and inversion for mutation. The algorithm was written for optimization of the Goldstein-Price function.

Experiments with the Sierra API. Created and maintained by Jeremy Goldstein for test purposes only. Use at your own risk. Not supported by the Minuteman Library Network.

Collection of monographic label templates created in Jaspersoft Studio for use with Sierra ILS. Created and maintained by Jeremy Goldstein for test purposes only. Use at your own risk. Not supported by the Minuteman Library Network.

This is a Java/Python implementation of an algorithm for parallel VM placement with high throughput and provalbe success guarantees, as described in the paper: I. Cohen, G. Einziger, M. Goldstein, Y. Sa’ar, G. Scalosub, and E. Waisbard. Parallel VM Deployment with Provable Guarantees, IFIP Networking, 2021, pp. 1-9.

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hmmcluster - Hidden Markov Model clustering of nucleotide sequences. O Charles & R Goldstein.

Ackley, Beale, Goldstein-Price, Levi Optimizasyon Test Fonksiyonları ile Düellocu Optimizasyon Algoritması ve Tavlama Benzetimi Algoritmasının Optimizasyonu

Reproducing the simulation study investigating the impact of autocorrelated camera trap detections on occupancy models by Goldstein et al.

Homework assignment #1 from the Technion "AI & Robotics" course (Winter '22), taught by Prof. Sarah Keren and completed by Yotam Granov and Sharon Goldstein.