For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).

Overview

IBM Quantum Challenge Africa 2021

To ensure Africa is able to apply quantum computing to solve problems relevant to the continent, the IBM Research Lab in South Africa and the University of the Witwatersrand have developed a quantum computing challenge that focuses on the fields of optimization, finance, and chemistry. This challenge will boost participant's quantum computing skills and give them the tools to devise the best solutions to real-world issues faced in Africa.

The challenge exercises are developed by African researchers for African learners, researchers, and industry professionals. Participants need not have any formal education in quantum computing, as the challenge focuses on its application to already existing classical problems.

The challenge will take place from 9 September (07:00 UTC) to 20 September (23:00 UTC). Read more about the challenge in the announcement blog.

Make sure to join the dedicated Slack channel #challenge-africa-2021 where you can connect with mentors and fellow attendees! Join the Qiskit Slack workspace here if you haven't already. Please also review our Slack Guidelines to make the most of your experience!

Event Code of Conduct

Preliminary Content

FAQ

Submitting Solutions

Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021

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97 Dec 23, 2022
Learning to See by Looking at Noise

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Manel Baradad Jurjo 82 Dec 24, 2022
Download files from DSpace systems (because for some reason DSpace won't let you)

DSpaceDL A tool for downloading files from DSpace items. For some reason, DSpace systems have a dogshit UI, and Universities absolutely LOOOVE to use

Soumitra Shewale 5 Dec 01, 2022
113 Nov 28, 2022
SMPL-X: A new joint 3D model of the human body, face and hands together

SMPL-X: A new joint 3D model of the human body, face and hands together [Paper Page] [Paper] [Supp. Mat.] Table of Contents License Description News I

Vassilis Choutas 1k Jan 09, 2023
This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

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Davide Coccomini 9 Dec 18, 2022
Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"

Tensorflow implementation of Learning Deconvolution Network for Semantic Segmentation. Install Instructions Works with tensorflow 1.11.0 and uses the

Fabian Bormann 224 Apr 15, 2022
Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

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Politechnika Wrocławska - repozytorium dla informatyków 4 Oct 24, 2022
R3Det based on mmdet 2.19.0

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object Installation # install mmdetection first if you haven't installed it

SJTU-Thinklab-Det 38 Dec 15, 2022
Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data recorded in NumPy array

shindo.py Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data stored in NumPy array Introduction Japa

RR_Inyo 3 Sep 23, 2022
Extract MNIST handwritten digits dataset binary file into bmp images

MNIST-dataset-extractor Extract MNIST handwritten digits dataset binary file into bmp images More info at http://yann.lecun.com/exdb/mnist/ Dependenci

Omar Mostafa 6 May 24, 2021
Embeds a story into a music playlist by sorting the playlist so that the order of the music follows a narrative arc.

playlist-story-builder This project attempts to embed a story into a music playlist by sorting the playlist so that the order of the music follows a n

Dylan R. Ashley 0 Oct 28, 2021
Semi-supervised semantic segmentation needs strong, varied perturbations

Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs

146 Dec 20, 2022
A real-time speech emotion recognition application using Scikit-learn and gradio

Speech-Emotion-Recognition-App A real-time speech emotion recognition application using Scikit-learn and gradio. Requirements librosa==0.6.3 numpy sou

Son Tran 6 Oct 04, 2022
An essential implementation of BYOL in PyTorch + PyTorch Lightning

Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh

Enrico Fini 48 Sep 27, 2022
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
Model Quantization Benchmark

Introduction MQBench is an open-source model quantization toolkit based on PyTorch fx. The envision of MQBench is to provide: SOTA Algorithms. With MQ

500 Jan 06, 2023
Riemannian Geometry for Molecular Surface Approximation (RGMolSA)

Riemannian Geometry for Molecular Surface Approximation (RGMolSA) Introduction Ligand-based virtual screening aims to reduce the cost and duration of

11 Nov 15, 2022
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective

Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin

2 Nov 07, 2022
Hierarchical Few-Shot Generative Models

Hierarchical Few-Shot Generative Models Giorgio Giannone, Ole Winther This repo contains code and experiments for the paper Hierarchical Few-Shot Gene

Giorgio Giannone 6 Dec 12, 2022