Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

Last update: May 25, 2022

Related tags

Deep Learning feature-set-comp

Overview

feature-set-comp

Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

Repository Structure

The entire project folder structure and package loads are handled by the setup.R script. Please run this before any other scripts and each time you load up the project.

The main chunk of the repository is largely organised around the analysis/ folder which contains subfolders for each discrete topic of analysis:

feature-calcs/ - Computation of time-series features
comp-time/ - Benchmarking of feature set evaluation speed
correlation/ - Pairwise feature-feature relationships across feature sets
redundancy/ - Principal components analysis of within-set feature composition

The webscraping/ folder contains all the scripts necessary to automatically download and process the Empirical 1000 dataset used in this project.

The R/ folder contains a collection of functions that were written and reused throughout the project.

Releases(v0.1)

v0.1(Sep 30, 2021)

Initial release
Source code(tar.gz)
Source code(zip)

DFM: A Performance Baseline for Deep Feature Matching

DFM: A Performance Baseline for Deep Feature Matching Python (Pytorch) and Matlab (MatConvNet) implementations of our paper DFM: A Performance Baselin

143 Jan 2, 2023

A light-weight image labelling tool for Python designed for creating segmentation data sets.

An image labelling tool for creating segmentation data sets, for Django and Flask.

117 Nov 21, 2022

Molecular Sets (MOSES): A benchmarking platform for molecular generation models

Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery

3 Oct 14, 2022

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

656 Dec 29, 2022

Blender Add-on that sets a Material's Base Color to one of Pantone's Colors of the Year

Blender PCOY (Pantone Color of the Year) MCMC (Mid-Century Modern Colors) HG71 (House & Garden Colors 1971) Blender Add-ons That Assign a Custom Color

15 Nov 20, 2022

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University

213 Dec 27, 2022

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

XL-Sum This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Lang

190 Jan 3, 2023

Flow is a computational framework for deep RL and control experiments for traffic microsimulation.

Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap

867 Jan 2, 2023

Computational Methods Course at UdeA. Forked and size reduced from:

Computational Methods for Physics & Astronomy Book version at: https://restrepo.github.io/ComputationalMethods by: Sebastian Bustamante 2014/2015 Dieg

11 Sep 10, 2022

Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.

Related tags

Overview

feature-set-comp

Repository Structure

You might also like...

DFM: A Performance Baseline for Deep Feature Matching

A light-weight image labelling tool for Python designed for creating segmentation data sets.

Molecular Sets (MOSES): A benchmarking platform for molecular generation models

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Blender Add-on that sets a Material's Base Color to one of Pantone's Colors of the Year

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

Flow is a computational framework for deep RL and control experiments for traffic microsimulation.

Computational Methods Course at UdeA. Forked and size reduced from:

Releases(v0.1)

v0.1(Sep 30, 2021)

Owner

Trent Henderson

Deformable DETR is an efficient and fast-converging end-to-end object detector.

Citation Intent Classification in scientific papers using the Scicite dataset an Pytorch

Simulation of Self Driving Car

An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

Repository for Traffic Accident Benchmark for Causality Recognition (ECCV 2020)

This is RFA-Toolbox, a simple and easy-to-use library that allows you to optimize your neural network architectures using receptive field analysis (RFA) and create graph visualizations of your architecture.

We have made you a wrapper you can't refuse

My implementation of Image Inpainting - A deep learning Inpainting model

Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)

Generic U-Net Tensorflow implementation for image segmentation

AntiFuzz: Impeding Fuzzing Audits of Binary Executables

Request execution of Galaxy SARS-CoV-2 variation analysis workflows on input data you provide.

Azua - build AI algorithms to aid efficient decision-making with minimum data requirements.

Example how to deploy deep learning model with aiohttp.

Artificial Neural network regression model to predict the energy output in a combined cycle power plant.

Python Classes: Medical Insurance Project using Object Oriented Programming Concepts

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

Computationally efficient algorithm that identifies boundary points of a point cloud.

PyTorch Implementation for Fracture Detection in Wrist Bone X-ray Images

Auditing Black-Box Prediction Models for Data Minimization Compliance