Data and code for the paper "Importance of Kernel Bandwidth in Quantum Machine Learning"

Last update: Oct 23, 2022

Overview

Reproducibility materials for "Importance of Kernel Bandwidth in Quantum Machine Learning"

Repo structure:

code contains Python scripts used to generate the data
reproduce-figures contains Jupyter notebooks that generate the figures in the paper
data contains the datasets used

Requirements

Easiest way to reproduce my set up is to install anaconda3 and run

conda env create -f environment.yml

Obtaining raw data

Full raw data can be downloaded here (~23GB): https://web.cels.anl.gov/~rshaydulin/results.zip

To reproduce figures, you have to first download the data (results.zip) and unzip it into data folder.

Owner

Ruslan Shaydulin

GitHub Repository

Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

22 Jul 07, 2022

Highway networks implemented in PyTorch.

PyTorch Highway Networks Highway networks implemented in PyTorch. Just the MNIST example from PyTorch hacked to work with Highway layers. Todo Make th

56 Dec 14, 2022

WTTE-RNN a framework for churn and time to event prediction

WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p

727 Dec 28, 2022

MusicYOLO framework uses the object detection model, YOLOx, to locate notes in the spectrogram.

MusicYOLO MusicYOLO framework uses the object detection model, YOLOX, to locate notes in the spectrogram. Its performance on the ISMIR2014 dataset, MI

2 Aug 02, 2022

Space Invaders For Python

Space-Invaders Just download or clone the git repository. To run the Space Invader game you need to have pyhton installed in you system. If you dont h

5 Jul 27, 2022

Code for Greedy Gradient Ensemble for Visual Question Answering （ICCV 2021, Oral）

Greedy Gradient Ensemble for De-biased VQA Code release for "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). GGE can

21 Jun 29, 2022

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I

68 Dec 29, 2022

Raptor-Multi-Tool - Raptor Multi Tool With Python

Promises 🔥 20 Stars and I'll fix every error that there is 50 Stars and we will

44 Jan 04, 2023

Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend

Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend This project acts as both a tuto

103 Jul 22, 2022

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

C2-Matching (CVPR2021) This repository contains the implementation of the following paper: Robust Reference-based Super-Resolution via C2-Matching Yum

151 Dec 26, 2022

Winners of the Facebook Image Similarity Challenge

111 Jan 05, 2023

Implementation of light baking system for ray tracing based on Activision's UberBake

Vulkan Light Bakary MSU Graphics Group Student's Diploma Project Treefonov Andrey [GitHub] [LinkedIn] Project Goal The goal of the project is to imple

7 Dec 27, 2022

S2s2net - Sentinel-2 Super-Resolution Segmentation Network

S2S2Net Sentinel-2 Super-Resolution Segmentation Network Getting started Install

10 Nov 10, 2022

AFLFast (extends AFL with Power Schedules)

AFLFast Power schedules implemented by Marcel Böhme [email protected]

380 Jan 03, 2023

Starter Code for VALUE benchmark

StarterCode for VALUE Benchmark This is the starter code for VALUE Benchmark [website], [paper]. This repository currently supports all baseline model

73 Dec 09, 2022

This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

Mesa: A Memory-saving Training Framework for Transformers This is the official PyTorch implementation for Mesa: A Memory-saving Training Framework for

105 Dec 06, 2022

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation By Qiang Zhou*, Zilong Huang*, Lichao Huang, Han Shen, Yon

117 Apr 01, 2022

This code provides various models combining dilated convolutions with residual networks

Overview This code provides various models combining dilated convolutions with residual networks. Our models can achieve better performance with less

1.1k Dec 30, 2022

Benchmarks for Object Detection in Aerial Images

691 Dec 30, 2022

Proposed n-stage Latent Dirichlet Allocation method - A Novel Approach for LDA

n-stage Latent Dirichlet Allocation (n-LDA) Proposed n-LDA & A Novel Approach for classical LDA Latent Dirichlet Allocation (LDA) is a generative prob

4 Mar 07, 2022