Project to compare list update algorithms in paid-exchanges-only model.
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Updated
Jan 18, 2019 - Python
Project to compare list update algorithms in paid-exchanges-only model.
This project aims at designing optimal packet schedulers by providing an online solution to the NP-hard integer linear programming problem of network scheduling.
Learning to predict taxi fares in the online setting. Intention of the project was to compare the performance of online vs offline machine learning algorithms in terms of accuracy, efficiency and speed.
Storm-based online algorithms
Python micropackage with an online algorithm for mean, variance, and covariance
Online second-order statistics in sliding window
Solving algorithms on N queens problem
Implementation of online algorithms for Pickup and Delivery problems
Online Maximum Independent Set of Hyperrectangles
Approximation streaming algorithms, written in Go
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
Profile. Generate data profiles in the browser (work in progress)
Updating Singular Value Decomposition (SVD) for rank-1 perturbed matrix.
A broad collection of online algorithms (a.k.a streaming algorithms) implemented in R.
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
Online statistics
A simple accumulator inspired from boost::accumulator
Online algorithms for data exploration and analysis
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